command : wip in progress, improve guided decoding

2025-06-24 17:15:19 +00:00 · 2023-02-19 19:39:05 +02:00
965 changed files with 28046 additions and 390194 deletions
--- a/.devops/cublas.Dockerfile
+++ b/.devops/cublas.Dockerfile
@ -1,28 +0,0 @@
-ARG UBUNTU_VERSION=22.04
-
-# This needs to generally match the container host's environment.
-ARG CUDA_VERSION=11.7.1
-
-# Target the CUDA build image
-ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
-
-FROM ${BASE_CUDA_DEV_CONTAINER} as build
-
-# Unless otherwise specified, we make a fat build.
-ARG CUDA_DOCKER_ARCH=all
-
-RUN apt-get update && \
-    apt-get install -y build-essential git cmake libsdl2-dev wget git
-
-WORKDIR /app
-
-COPY . .
-
-# Set nvcc architecture
-ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
-# Enable cuBLAS
-ENV GGML_CUDA=1
-
-RUN make base.en
-
-ENTRYPOINT ["/app/main"]
--- a/.devops/main-cuda.Dockerfile
+++ b/.devops/main-cuda.Dockerfile
@ -1,40 +0,0 @@
-ARG UBUNTU_VERSION=22.04
-# This needs to generally match the container host's environment.
-ARG CUDA_VERSION=12.3.1
-# Target the CUDA build image
-ARG BASE_CUDA_DEV_CONTAINER=nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}
-# Target the CUDA runtime image
-ARG BASE_CUDA_RUN_CONTAINER=nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION}
-
-FROM ${BASE_CUDA_DEV_CONTAINER} AS build
-WORKDIR /app
-
-# Unless otherwise specified, we make a fat build.
-ARG CUDA_DOCKER_ARCH=all
-# Set nvcc architecture
-ENV CUDA_DOCKER_ARCH=${CUDA_DOCKER_ARCH}
-# Enable cuBLAS
-ENV GGML_CUDA=1
-
-RUN apt-get update && \
-    apt-get install -y build-essential libsdl2-dev wget cmake git \
-    && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
-
-# Ref: https://stackoverflow.com/a/53464012
-ENV CUDA_MAIN_VERSION=12.3
-ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
-
-COPY .. .
-RUN make base.en
-
-FROM ${BASE_CUDA_RUN_CONTAINER} AS runtime
-ENV CUDA_MAIN_VERSION=12.3
-ENV LD_LIBRARY_PATH /usr/local/cuda-${CUDA_MAIN_VERSION}/compat:$LD_LIBRARY_PATH
-WORKDIR /app
-
-RUN apt-get update && \
-  apt-get install -y curl ffmpeg wget cmake git \
-  && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
-
-COPY --from=build /app /app
-ENTRYPOINT [ "bash", "-c" ]
--- a/.devops/main.Dockerfile
+++ b/.devops/main.Dockerfile
@ -1,19 +0,0 @@
-FROM ubuntu:22.04 AS build
-WORKDIR /app
-
-RUN apt-get update && \
-  apt-get install -y build-essential wget cmake git \
-  && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
-
-COPY .. .
-RUN make base.en
-
-FROM ubuntu:22.04 AS runtime
-WORKDIR /app
-
-RUN apt-get update && \
-  apt-get install -y curl ffmpeg libsdl2-dev wget cmake git \
-  && rm -rf /var/lib/apt/lists/* /var/cache/apt/archives/*
-
-COPY --from=build /app /app
-ENTRYPOINT [ "bash", "-c" ]
--- a/.github/workflows/bindings-go.yml
+++ b/.github/workflows/bindings-go.yml
@ -10,13 +10,13 @@ on:
      - whisper.h

 jobs:
-  ubuntu-22:
-    runs-on: ubuntu-22.04
+  ubuntu-latest:
+    runs-on: ubuntu-latest
    steps:
-      - uses: actions/setup-go@v5
+      - uses: actions/setup-go@v3
        with:
-          go-version: '^1.23'
-      - uses: actions/checkout@v4
+          go-version: '^1.19'
+      - uses: actions/checkout@v1
      - run: |
          cd bindings/go
          make test
--- a/.github/workflows/bindings-ruby.yml
+++ b/.github/workflows/bindings-ruby.yml
@ -3,63 +3,20 @@ on:
  push:
    paths:
      - bindings/ruby/**
-      - src/**/*.c
-      - src/**/*.cpp
-      - src/**/*.h
-      - src/**/*.m
-      - src/**/*.metal
-      - include/**/*.c
-      - include/**/*.cpp
-      - include/**/*.h
-      - include/**/*.m
-      - include/**/*.metal
-      - ggml/**/*.c
-      - ggml/**/*.cpp
-      - ggml/**/*.h
-      - ggml/**/*.m
-      - ggml/**/*.metal
-      - scripts/get-flags.mk
-      - examples/common.h
-      - examples/common.cpp
-      - examples/common-whisper.h
-      - examples/common-whisper.cpp
-      - examples/stb_vorbis.c
-      - examples/miniaudio.h
+      - whisper.h
  pull_request:
    paths:
      - bindings/ruby/**
-      - src/**/*.c
-      - src/**/*.cpp
-      - src/**/*.h
-      - src/**/*.m
-      - src/**/*.metal
-      - include/**/*.c
-      - include/**/*.cpp
-      - include/**/*.h
-      - include/**/*.m
-      - include/**/*.metal
-      - ggml/**/*.c
-      - ggml/**/*.cpp
-      - ggml/**/*.h
-      - ggml/**/*.m
-      - ggml/**/*.metal
-      - scripts/get-flags.mk
-      - examples/common.h
-      - examples/common.cpp
-      - examples/common-whisper.h
-      - examples/common-whisper.cpp
-      - examples/stb_vorbis.c
-      - examples/miniaudio.h
+      - whisper.h

 jobs:
-  ubuntu-22:
-    runs-on: ubuntu-22.04
-    defaults:
-      run:
-        working-directory: bindings/ruby
+  ubuntu-latest:
+    runs-on: ubuntu-latest
    steps:
      - uses: ruby/setup-ruby@v1
        with:
-          ruby-version: '3.1'
-      - uses: actions/checkout@v4
-      - run: rake test
+          ruby-version: '3.0'
+      - uses: actions/checkout@v1
+      - run: |
+          cd bindings/ruby/ext
+          ruby extconf.rb && make
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
--- a/.github/workflows/docker.yml
+++ b/.github/workflows/docker.yml
@ -1,61 +0,0 @@
-name: Publish Docker image
-
-on:
-  pull_request:
-  push:
-    branches:
-      - master
-
-jobs:
-  push_to_registry:
-    name: Push Docker image to Docker Hub
-    if: github.event.pull_request.draft == false
-
-    runs-on: ubuntu-22.04
-    env:
-      COMMIT_SHA: ${{ github.sha }}
-    strategy:
-      matrix:
-        config:
-          - { tag: "main", dockerfile: ".devops/main.Dockerfile", platform: "linux/amd64" }
-          #TODO: the cuda image keeps failing - disable for now
-          #      https://github.com/ggerganov/whisper.cpp/actions/runs/11019444428/job/30602020339
-          #- { tag: "main-cuda", dockerfile: ".devops/main-cuda.Dockerfile", platform: "linux/amd64" }
-
-    steps:
-      - name: Check out the repo
-        uses: actions/checkout@v3
-
-      - name: Set up QEMU
-        uses: docker/setup-qemu-action@v3
-        with:
-          image: tonistiigi/binfmt:qemu-v7.0.0-28
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Log in to Docker Hub
-        uses: docker/login-action@v3
-        with:
-          registry: ghcr.io
-          username: ${{ github.repository_owner }}
-          password: ${{ secrets.GITHUB_TOKEN }}
-
-      - name: Build and push Docker image (versioned)
-        if: github.event_name == 'push'
-        uses: docker/build-push-action@v5
-        with:
-          context: .
-          push: true
-          platforms: ${{ matrix.config.platform }}
-          tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}-${{ env.COMMIT_SHA }}"
-          file: ${{ matrix.config.dockerfile }}
-
-      - name: Build and push Docker image (tagged)
-        uses: docker/build-push-action@v4
-        with:
-          context: .
-          push: ${{ github.event_name == 'push' }}
-          platforms: ${{ matrix.config.platform }}
-          tags: "ghcr.io/${{ github.repository }}:${{ matrix.config.tag }}"
-          file: ${{ matrix.config.dockerfile }}
--- a/.github/workflows/examples-wasm.yml
+++ b/.github/workflows/examples-wasm.yml
@ -1,91 +0,0 @@
-name: Examples WASM
-on:
-  push:
-    branches: ["master"]
-
-  workflow_dispatch:
-
-permissions:
-  contents: read
-  pages: write
-  id-token: write
-
-concurrency:
-  group: "pages"
-  cancel-in-progress: false
-
-jobs:
-  deploy-wasm-github-pages:
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v4
-
-      - name: Setup Pages
-        uses: actions/configure-pages@v4
-
-      - name: Setup emsdk
-        uses: mymindstorm/setup-emsdk@v14
-
-      - name: Build WASM Examples
-        # Enable for real build later in whisper.cpp
-        run: |
-          mkdir -p build-em && cd build-em
-          emcmake cmake .. -DCMAKE_BUILD_TYPE=Release
-          make -j
-
-      - name: Create staging directory
-        run: mkdir -p staging
-
-      - name: Create .nojekyll file in staging directory
-        run: touch staging/.nojekyll
-
-      - name: Copy application files
-        run: |
-          build_dir=build-em/bin
-
-          ls ${build_dir}
-
-          # command.wasm
-          target_dir=staging/command.wasm
-          mkdir -p ${target_dir}
-          cp ${build_dir}/command.wasm/{index.html,command.js,helpers.js} ${target_dir}
-          cp ${build_dir}/libcommand.js ${target_dir}
-
-          # bench.wasm
-          target_dir=staging/bench.wasm
-          mkdir -p ${target_dir}
-          cp ${build_dir}/bench.wasm/{index.html,bench.js,helpers.js} ${target_dir}
-          cp ${build_dir}/libbench.js ${target_dir}
-
-          # stream.wasm
-          target_dir=staging/stream.wasm
-          mkdir -p ${target_dir}
-          cp ${build_dir}/stream.wasm/{index.html,stream.js,helpers.js} ${target_dir}
-          cp ${build_dir}/libstream.js ${target_dir}
-
-          # whisper.wasm (this will be the main example page)
-          target_dir=staging
-          mkdir -p ${target_dir}
-          cp ${build_dir}/whisper.wasm/{index.html,main.js,helpers.js} ${target_dir}
-          cp ${build_dir}/libmain.js ${target_dir}
-
-          # Copy Cross-Origin Isolation service worker
-          cp -v examples/coi-serviceworker.js staging/
-
-      - name: List files in staging directory (for debugging)
-        run: |
-          echo "Files in staging directory:"
-          find staging -type f | sort
-
-      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v3
-        with:
-          path: ./staging
-
-      - name: Deploy to GitHub Pages
-        id: deployment
-        uses: actions/deploy-pages@v4
--- a/.github/workflows/examples.yml
+++ b/.github/workflows/examples.yml
@ -10,8 +10,8 @@ on:
      - whisper.h

 jobs:
-  addon_node-ubuntu-22:
-    runs-on: ubuntu-22.04
+  addon_node-ubuntu-latest:
+    runs-on: ubuntu-latest
    strategy:
      matrix:
        node-version: [ 16.x, 18.x ]
@ -22,7 +22,7 @@ jobs:
      - name: Dependencies
        run: |
          sudo apt-get update
-          sudo apt-get install build-essential git
+          sudo apt-get install build-essential
          sudo apt-get install cmake
          sudo apt-get install libsdl2-dev

@ -37,7 +37,7 @@ jobs:
        run: npm install

      - name: Compile addon.node
-        run: npx cmake-js compile -T addon.node -B Release
+        run: npx cmake-js compile -T whisper-addon -B Release

      - name: Download test model
        run: |
--- a/.gitignore
+++ b/.gitignore
@ -1,37 +1,23 @@
 *.o
 *.a
-*.d
 .cache/
-.coreml/
-.test/
-.venv/
 .vs/
 .vscode/
 .DS_Store
-.vimspector.json
-/CMakeSettings.json
-/talk-llama.dSYM/

 build/
-build-*/
-
-# SPM
-.build/
-.swiftpm
-*.metallib
-
-ggml-metal-embed.metal
-ggml-metal-embed.metal.tmp
+build-em/
+build-debug/
+build-release/
+build-static/
+build-sanitize-addr/
+build-sanitize-thread/

 /main
 /stream
 /command
 /talk
-/talk-llama
 /bench
-/quantize
-/server
-/lsp

 arm_neon.h
 sync.sh
@ -45,18 +31,3 @@ examples/whisper.objc/whisper.objc.xcodeproj/xcuserdata/
 examples/whisper.objc/whisper.objc.xcodeproj/project.xcworkspace/xcuserdata

 extra/bench-gg.txt
-
-models/*.mlmodel
-models/*.mlmodelc
-models/*.mlpackage
-bindings/java/.gradle/
-bindings/java/.idea/
-.idea/
-
-benchmark_results.csv
-cmake-build-debug/
-.cxx/
-.gradle/
-local.properties
-.log
-.exe
--- a/.gitmodules
+++ b/.gitmodules
@ -0,0 +1,3 @@
+[submodule "bindings/ios"]
+	path = bindings/ios
+	url = https://github.com/ggerganov/whisper.spm
--- a/510
+++ b/510
@ -1,510 +0,0 @@
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-Ma Mingfei <mingfei.ma@intel.com>
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--- a/CMakeLists.txt
+++ b/CMakeLists.txt
@ -1,31 +1,21 @@
-cmake_minimum_required(VERSION 3.5) # for add_link_options and implicit target directories.
-project("whisper.cpp" C CXX)
-project("whisper.cpp" VERSION 1.7.4)
-include(CheckIncludeFileCXX)
+cmake_minimum_required (VERSION 3.0)

-set(SOVERSION 1)
-
-#set(CMAKE_WARN_DEPRECATED YES)
-set(CMAKE_WARN_UNUSED_CLI YES)
-
-set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
-
-if (NOT XCODE AND NOT MSVC AND NOT CMAKE_BUILD_TYPE)
-    set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
-    set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "MinSizeRel" "RelWithDebInfo")
-endif()
+project(whisper.cpp VERSION 1.2.0)

 # Add path to modules
 list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake/")

 set(CMAKE_RUNTIME_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/bin)

-if (CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
+if(CMAKE_SOURCE_DIR STREQUAL CMAKE_CURRENT_SOURCE_DIR)
    set(WHISPER_STANDALONE ON)
-
-    include(git-vars)
+    include(GitVars)
+    include(BuildTypes)

    # configure project version
+    if (EXISTS "${CMAKE_SOURCE_DIR}/bindings/ios/Makefile-tmpl")
+        configure_file(${CMAKE_SOURCE_DIR}/bindings/ios/Makefile-tmpl ${CMAKE_SOURCE_DIR}/bindings/ios/Makefile @ONLY)
+    endif()
    configure_file(${CMAKE_SOURCE_DIR}/bindings/javascript/package-tmpl.json ${CMAKE_SOURCE_DIR}/bindings/javascript/package.json @ONLY)
 else()
    set(WHISPER_STANDALONE OFF)
@ -35,16 +25,6 @@ if (EMSCRIPTEN)
    set(BUILD_SHARED_LIBS_DEFAULT OFF)

    option(WHISPER_WASM_SINGLE_FILE "whisper: embed WASM inside the generated whisper.js" ON)
-
-    # TODO: without these, we get the following error:
-    #       wasm-ld: error: --shared-memory is disallowed by whisper.cpp.o because it was not compiled with 'atomics' or 'bulk-memory' features.
-    set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS}   -pthread")
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
-
-    set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -s TOTAL_STACK=5242880")
-    set(CMAKE_SHARED_LINKER_FLAGS "${CMAKE_SHARED_LINKER_FLAGS} -s TOTAL_STACK=5242880")
-
-    set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -Wno-deprecated")
 else()
    if (MINGW)
        set(BUILD_SHARED_LIBS_DEFAULT OFF)
@ -53,144 +33,220 @@ else()
    endif()
 endif()

-option(BUILD_SHARED_LIBS "build shared libraries" ${BUILD_SHARED_LIBS_DEFAULT})
+# options

-#
-# option list
-#
+option(BUILD_SHARED_LIBS               "whisper: build shared libs" ${BUILD_SHARED_LIBS_DEFAULT})

-# general
-option(WHISPER_CCACHE "whisper: use ccache if available" ON)
+option(WHISPER_ALL_WARNINGS            "whisper: enable all compiler warnings"                   ON)
+option(WHISPER_ALL_WARNINGS_3RD_PARTY  "whisper: enable all compiler warnings in 3rd party libs" OFF)

-# debug
-option(WHISPER_ALL_WARNINGS           "whisper: enable all compiler warnings"                   ON)
-option(WHISPER_ALL_WARNINGS_3RD_PARTY "whisper: enable all compiler warnings in 3rd party libs" OFF)
+option(WHISPER_SANITIZE_THREAD         "whisper: enable thread sanitizer"    OFF)
+option(WHISPER_SANITIZE_ADDRESS        "whisper: enable address sanitizer"   OFF)
+option(WHISPER_SANITIZE_UNDEFINED      "whisper: enable undefined sanitizer" OFF)

-# build
-option(WHISPER_FATAL_WARNINGS  "whisper: enable -Werror flag"               OFF)
-option(WHISPER_USE_SYSTEM_GGML "whisper: use system-installed GGML library" OFF)
+option(WHISPER_BUILD_TESTS             "whisper: build tests"    ${WHISPER_STANDALONE})
+option(WHISPER_BUILD_EXAMPLES          "whisper: build examples" ${WHISPER_STANDALONE})
+
+option(WHISPER_SUPPORT_SDL2            "whisper: support for libSDL2" OFF)
+
+if (APPLE)
+    option(WHISPER_NO_ACCELERATE       "whisper: disable Accelerate framework" OFF)
+    option(WHISPER_NO_AVX              "whisper: disable AVX" OFF)
+    option(WHISPER_NO_AVX2             "whisper: disable AVX2" OFF)
+    option(WHISPER_NO_FMA              "whisper: disable FMA" OFF)
+else()
+    option(WHISPER_SUPPORT_OPENBLAS    "whisper: support for OpenBLAS" OFF)
+endif()
+
+option(WHISPER_PERF                    "whisper: enable perf timings" OFF)

 # sanitizers
-option(WHISPER_SANITIZE_THREAD    "whisper: enable thread sanitizer"    OFF)
-option(WHISPER_SANITIZE_ADDRESS   "whisper: enable address sanitizer"   OFF)
-option(WHISPER_SANITIZE_UNDEFINED "whisper: enable undefined sanitizer" OFF)

-# extra artifacts
-option(WHISPER_BUILD_TESTS    "whisper: build tests"          ${WHISPER_STANDALONE})
-option(WHISPER_BUILD_EXAMPLES "whisper: build examples"       ${WHISPER_STANDALONE})
-option(WHISPER_BUILD_SERVER   "whisper: build server example" ${WHISPER_STANDALONE})
+if (NOT MSVC)
+    if (WHISPER_SANITIZE_THREAD)
+        set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS}   -fsanitize=thread")
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=thread")
+    endif()

-# 3rd party libs
-option(WHISPER_CURL "whisper: use libcurl to download model from an URL" OFF)
-option(WHISPER_SDL2 "whisper: support for libSDL2" OFF)
+    if (WHISPER_SANITIZE_ADDRESS)
+        set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}     -fsanitize=address -fno-omit-frame-pointer")
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=address -fno-omit-frame-pointer")
+    endif()

-if (CMAKE_SYSTEM_NAME MATCHES "Linux")
-    option(WHISPER_FFMPEG "whisper: support building and linking with ffmpeg libs (avcodec, swresample, ...)" OFF)
+    if (WHISPER_SANITIZE_UNDEFINED)
+        set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS}     -fsanitize=undefined")
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -fsanitize=undefined")
+    endif()
 endif()

-option(WHISPER_COREML                "whisper: enable Core ML framework"  OFF)
-option(WHISPER_COREML_ALLOW_FALLBACK "whisper: allow non-CoreML fallback" OFF)
-option(WHISPER_OPENVINO              "whisper: support for OpenVINO"      OFF)
+#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -ffast-math")
+#set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -march=native")

-# Required for relocatable CMake package
-include(${CMAKE_CURRENT_SOURCE_DIR}/cmake/build-info.cmake)
+# dependencies

-# override ggml options
-set(GGML_CCACHE             ${WHISPER_CCACHE})
-set(GGML_SANITIZE_THREAD    ${WHISPER_SANITIZE_THREAD})
-set(GGML_SANITIZE_ADDRESS   ${WHISPER_SANITIZE_ADDRESS})
-set(GGML_SANITIZE_UNDEFINED ${WHISPER_SANITIZE_UNDEFINED})
-set(GGML_ALL_WARNINGS       ${WHISPER_ALL_WARNINGS})
-set(GGML_FATAL_WARNINGS     ${WHISPER_FATAL_WARNINGS})
+find_package(Threads REQUIRED)

-# transition helpers
-function (whisper_option_depr TYPE OLD NEW)
-    if (${OLD})
-        message(${TYPE} "${OLD} is deprecated and will be removed in the future.\nUse ${NEW} instead\n")
-        set(${NEW} ON)
-    endif()
-endfunction()
+# on APPLE - include Accelerate framework
+if (APPLE AND NOT WHISPER_NO_ACCELERATE)
+    find_library(ACCELERATE_FRAMEWORK Accelerate)
+    if (ACCELERATE_FRAMEWORK)
+        message(STATUS "Accelerate framework found")

-whisper_option_depr(FATAL_ERROR WHISPER_CUBLAS              GGML_CUDA)
-whisper_option_depr(WARNING     WHISPER_CUDA                GGML_CUDA)
-whisper_option_depr(WARNING     WHISPER_KOMPUTE             GGML_KOMPUTE)
-whisper_option_depr(WARNING     WHISPER_METAL               GGML_METAL)
-whisper_option_depr(WARNING     WHISPER_METAL_EMBED_LIBRARY GGML_METAL_EMBED_LIBRARY)
-whisper_option_depr(WARNING     WHISPER_NATIVE              GGML_NATIVE)
-whisper_option_depr(WARNING     WHISPER_OPENMP              GGML_OPENMP)
-whisper_option_depr(WARNING     WHISPER_RPC                 GGML_RPC)
-whisper_option_depr(WARNING     WHISPER_SYCL                GGML_SYCL)
-whisper_option_depr(WARNING     WHISPER_SYCL_F16            GGML_SYCL_F16)
-
-#
-# build the library
-#
-
-if (NOT TARGET ggml)
-    if (WHISPER_USE_SYSTEM_GGML)
-        find_package(ggml REQUIRED)
-        if (NOT ggml_FOUND)
-            message(FATAL_ERROR "System-installed GGML library not found.")
-        endif()
-        add_library(ggml ALIAS ggml::ggml)
+        set(WHISPER_EXTRA_LIBS  ${WHISPER_EXTRA_LIBS}  ${ACCELERATE_FRAMEWORK})
+        set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_ACCELERATE)
    else()
-        add_subdirectory(ggml)
+        message(WARNING "Accelerate framework not found")
    endif()
-    # ... otherwise assume ggml is added by a parent CMakeLists.txt
 endif()
-add_subdirectory(src)
+
+if (WHISPER_SUPPORT_OPENBLAS)
+    find_library(OPENBLAS_LIB
+        NAMES openblas libopenblas
+        )
+    if (OPENBLAS_LIB)
+        message(STATUS "OpenBLAS found")
+
+        set(WHISPER_EXTRA_LIBS  ${WHISPER_EXTRA_LIBS}  ${OPENBLAS_LIB})
+        set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_USE_OPENBLAS)
+    else()
+        message(WARNING "OpenBLAS not found")
+    endif()
+endif()
+
+# compiler flags
+
+if (NOT CMAKE_BUILD_TYPE AND NOT CMAKE_CONFIGURATION_TYPES)
+    set(CMAKE_BUILD_TYPE Release CACHE STRING "Build type" FORCE)
+    set_property(CACHE CMAKE_BUILD_TYPE PROPERTY STRINGS "Debug" "Release" "RelWithDebInfo")
+endif ()
+
+if (WHISPER_ALL_WARNINGS)
+    if (NOT MSVC)
+        set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} \
+            -Wall                           \
+            -Wextra                         \
+            -Wpedantic                      \
+            -Wshadow                        \
+            -Wcast-qual                     \
+            -Wstrict-prototypes             \
+            -Wpointer-arith                 \
+            -Wno-unused-function            \
+        ")
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} \
+            -Wall                           \
+            -Wextra                         \
+            -Wpedantic                      \
+            -Wcast-qual                     \
+        ")
+    else()
+        # todo : msvc
+    endif()
+endif()
+
+if (NOT MSVC)
+    set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -Werror=vla")
+    #set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -fno-math-errno -ffinite-math-only -funsafe-math-optimizations")
+endif()
+
+message(STATUS "CMAKE_SYSTEM_PROCESSOR: ${CMAKE_SYSTEM_PROCESSOR}")
+
+if (${CMAKE_SYSTEM_PROCESSOR} MATCHES "arm" OR ${CMAKE_SYSTEM_PROCESSOR} MATCHES "aarch64")
+    message(STATUS "ARM detected")
+else()
+    message(STATUS "x86 detected")
+    if (MSVC)
+        set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} /arch:AVX2")
+        set(CMAKE_CXX_FLAGS_RELEASE "${CMAKE_CXX_FLAGS_RELEASE} /arch:AVX2")
+        set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} /arch:AVX2")
+    else()
+        if (EMSCRIPTEN)
+            set(CMAKE_C_FLAGS   "${CMAKE_C_FLAGS}   -pthread")
+            set(CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS} -pthread")
+        else()
+            if(NOT WHISPER_NO_AVX)
+                set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx")
+            endif()
+            if(NOT WHISPER_NO_AVX2)
+                set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mavx2")
+            endif()
+            if(NOT WHISPER_NO_FMA)
+                set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mfma")
+            endif()
+            set(CMAKE_C_FLAGS "${CMAKE_C_FLAGS} -mf16c")
+        endif()
+    endif()
+endif()
+
+if (WHISPER_PERF)
+    set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -DGGML_PERF)
+endif()

 #
-# install
+# whisper - this is the main library of the project
 #

-include(GNUInstallDirs)
-include(CMakePackageConfigHelpers)
+set(TARGET whisper)

-set(WHISPER_BUILD_NUMBER        ${BUILD_NUMBER})
-set(WHISPER_BUILD_COMMIT        ${BUILD_COMMIT})
-set(WHISPER_INSTALL_VERSION     ${CMAKE_PROJECT_VERSION})
+add_library(${TARGET}
+    ggml.h
+    ggml.c
+    whisper.h
+    whisper.cpp
+    )

-set(WHISPER_INCLUDE_INSTALL_DIR ${CMAKE_INSTALL_INCLUDEDIR} CACHE PATH "Location of header  files")
-set(WHISPER_LIB_INSTALL_DIR     ${CMAKE_INSTALL_LIBDIR}     CACHE PATH "Location of library files")
-set(WHISPER_BIN_INSTALL_DIR     ${CMAKE_INSTALL_BINDIR}     CACHE PATH "Location of binary  files")
+include(DefaultTargetOptions)

-get_directory_property(WHISPER_TRANSIENT_DEFINES COMPILE_DEFINITIONS)
+target_include_directories(${TARGET} PUBLIC
+    .
+    )

-set_target_properties(whisper PROPERTIES PUBLIC_HEADER ${CMAKE_CURRENT_SOURCE_DIR}/include/whisper.h)
-install(TARGETS whisper LIBRARY PUBLIC_HEADER)
+if (MSVC)
+    target_link_libraries(${TARGET} PRIVATE ${WHISPER_EXTRA_LIBS} ${CMAKE_THREAD_LIBS_INIT})

-configure_package_config_file(
-        ${CMAKE_CURRENT_SOURCE_DIR}/cmake/whisper-config.cmake.in
-        ${CMAKE_CURRENT_BINARY_DIR}/whisper-config.cmake
-    INSTALL_DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/whisper
-    PATH_VARS
-    WHISPER_INCLUDE_INSTALL_DIR
-    WHISPER_LIB_INSTALL_DIR
-    WHISPER_BIN_INSTALL_DIR )
+    set(WHISPER_EXTRA_FLAGS ${WHISPER_EXTRA_FLAGS} -D_CRT_SECURE_NO_WARNINGS)
+else()
+    target_link_libraries(${TARGET} PRIVATE m ${WHISPER_EXTRA_LIBS} ${CMAKE_THREAD_LIBS_INIT})
+endif()

-write_basic_package_version_file(
-    ${CMAKE_CURRENT_BINARY_DIR}/whisper-version.cmake
-    VERSION ${WHISPER_INSTALL_VERSION}
-    COMPATIBILITY SameMajorVersion)
+if (BUILD_SHARED_LIBS)
+    target_link_libraries(${TARGET} PUBLIC
+        ${CMAKE_DL_LIBS}
+        )

-install(FILES ${CMAKE_CURRENT_BINARY_DIR}/whisper-config.cmake
-              ${CMAKE_CURRENT_BINARY_DIR}/whisper-version.cmake
-        DESTINATION ${CMAKE_INSTALL_LIBDIR}/cmake/whisper)
+    target_compile_definitions(${TARGET} PUBLIC
+        WHISPER_SHARED
+        )
+endif()

-configure_file(cmake/whisper.pc.in
-        "${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
-        @ONLY)
+if (EMSCRIPTEN)
+    set_target_properties(${TARGET} PROPERTIES COMPILE_FLAGS "-msimd128")
+endif()

-install(FILES "${CMAKE_CURRENT_BINARY_DIR}/whisper.pc"
-        DESTINATION lib/pkgconfig)
+target_compile_definitions(${TARGET} PUBLIC
+    ${WHISPER_EXTRA_FLAGS}
+    )
+
+set_target_properties(${TARGET} PROPERTIES PUBLIC_HEADER "whisper.h")
+
+install(TARGETS ${TARGET}
+    LIBRARY DESTINATION lib
+    ARCHIVE DESTINATION lib/static
+    RUNTIME DESTINATION bin
+    PUBLIC_HEADER DESTINATION include
+    )
+
+#
+# bindings
+#
+
+add_subdirectory(bindings)

 #
 # programs, examples and tests
 #

 if (WHISPER_BUILD_TESTS AND NOT CMAKE_JS_VERSION)
-    include(CTest)
+    enable_testing()
    add_subdirectory(tests)
 endif ()

--- a/2
+++ b/2
@ -1,6 +1,6 @@
 MIT License

-Copyright (c) 2023-2024 The ggml authors
+Copyright (c) 2022 Georgi Gerganov

 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal
--- a/251
+++ b/251
@ -1,12 +1,225 @@
+ifndef UNAME_S
+UNAME_S := $(shell uname -s)
+endif
+
+ifndef UNAME_P
+UNAME_P := $(shell uname -p)
+endif
+
+ifndef UNAME_M
+UNAME_M := $(shell uname -m)
+endif
+
+CCV := $(shell $(CC) --version | head -n 1)
+CXXV := $(shell $(CXX) --version | head -n 1)
+
+# Mac OS + Arm can report x86_64
+# ref: https://github.com/ggerganov/whisper.cpp/issues/66#issuecomment-1282546789
+ifeq ($(UNAME_S),Darwin)
+	ifneq ($(UNAME_P),arm)
+		SYSCTL_M := $(shell sysctl -n hw.optional.arm64)
+		ifeq ($(SYSCTL_M),1)
+			# UNAME_P := arm
+			# UNAME_M := arm64
+			warn := $(warning Your arch is announced as x86_64, but it seems to actually be ARM64. Not fixing that can lead to bad performance. For more info see: https://github.com/ggerganov/whisper.cpp/issues/66\#issuecomment-1282546789)
+		endif
+	endif
+endif
+
+#
+# Compile flags
+#
+
+CFLAGS   = -I.              -O3 -std=c11   -fPIC
+CXXFLAGS = -I. -I./examples -O3 -std=c++11 -fPIC
+LDFLAGS  =
+
+# OS specific
+# TODO: support Windows
+ifeq ($(UNAME_S),Linux)
+	CFLAGS   += -pthread
+	CXXFLAGS += -pthread
+endif
+ifeq ($(UNAME_S),Darwin)
+	CFLAGS   += -pthread
+	CXXFLAGS += -pthread
+endif
+ifeq ($(UNAME_S),FreeBSD)
+	CFLAGS   += -pthread
+	CXXFLAGS += -pthread
+endif
+ifeq ($(UNAME_S),Haiku)
+	CFLAGS   += -pthread
+	CXXFLAGS += -pthread
+endif
+
+# Architecture specific
+# TODO: probably these flags need to be tweaked on some architectures
+#       feel free to update the Makefile for your architecture and send a pull request or issue
+ifeq ($(UNAME_M),$(filter $(UNAME_M),x86_64 i686))
+	ifeq ($(UNAME_S),Darwin)
+		CFLAGS += -mf16c
+		AVX1_M := $(shell sysctl machdep.cpu.features)
+		ifneq (,$(findstring FMA,$(AVX1_M)))
+			CFLAGS += -mfma
+		endif
+		ifneq (,$(findstring AVX1.0,$(AVX1_M)))
+			CFLAGS += -mavx
+		endif
+		AVX2_M := $(shell sysctl machdep.cpu.leaf7_features)
+		ifneq (,$(findstring AVX2,$(AVX2_M)))
+			CFLAGS += -mavx2
+		endif
+	else ifeq ($(UNAME_S),Linux)
+		AVX1_M := $(shell grep "avx " /proc/cpuinfo)
+		ifneq (,$(findstring avx,$(AVX1_M)))
+			CFLAGS += -mavx
+		endif
+		AVX2_M := $(shell grep "avx2 " /proc/cpuinfo)
+		ifneq (,$(findstring avx2,$(AVX2_M)))
+			CFLAGS += -mavx2
+		endif
+		FMA_M := $(shell grep "fma " /proc/cpuinfo)
+		ifneq (,$(findstring fma,$(FMA_M)))
+			CFLAGS += -mfma
+		endif
+		F16C_M := $(shell grep "f16c " /proc/cpuinfo)
+		ifneq (,$(findstring f16c,$(F16C_M)))
+			CFLAGS += -mf16c
+		endif
+		SSE3_M := $(shell grep "sse3 " /proc/cpuinfo)
+		ifneq (,$(findstring sse3,$(SSE3_M)))
+			CFLAGS += -msse3
+		endif
+	else ifeq ($(UNAME_S),Haiku)
+		AVX1_M := $(shell sysinfo -cpu | grep "AVX ")
+		ifneq (,$(findstring avx,$(AVX1_M)))
+			CFLAGS += -mavx
+		endif
+		AVX2_M := $(shell sysinfo -cpu | grep "AVX2 ")
+		ifneq (,$(findstring avx2,$(AVX2_M)))
+			CFLAGS += -mavx2
+		endif
+		FMA_M := $(shell sysinfo -cpu | grep "FMA ")
+		ifneq (,$(findstring fma,$(FMA_M)))
+			CFLAGS += -mfma
+		endif
+		F16C_M := $(shell sysinfo -cpu | grep "F16C ")
+		ifneq (,$(findstring f16c,$(F16C_M)))
+			CFLAGS += -mf16c
+		endif
+	else
+		CFLAGS += -mfma -mf16c -mavx -mavx2
+	endif
+endif
+ifeq ($(UNAME_M),amd64)
+	CFLAGS += -mavx -mavx2 -mfma -mf16c
+endif
+ifneq ($(filter ppc64%,$(UNAME_M)),)
+	POWER9_M := $(shell grep "POWER9" /proc/cpuinfo)
+	ifneq (,$(findstring POWER9,$(POWER9_M)))
+		CFLAGS += -mpower9-vector
+	endif
+	# Require c++23's std::byteswap for big-endian support.
+	ifeq ($(UNAME_M),ppc64)
+		CXXFLAGS += -std=c++23 -DGGML_BIG_ENDIAN
+	endif
+endif
+ifndef WHISPER_NO_ACCELERATE
+	# Mac M1 - include Accelerate framework
+	ifeq ($(UNAME_S),Darwin)
+		CFLAGS  += -DGGML_USE_ACCELERATE
+		LDFLAGS += -framework Accelerate
+	endif
+endif
+ifdef WHISPER_OPENBLAS
+	CFLAGS  += -DGGML_USE_OPENBLAS -I/usr/local/include/openblas
+	LDFLAGS += -lopenblas
+endif
+ifdef WHISPER_GPROF
+	CFLAGS   += -pg
+	CXXFLAGS += -pg
+endif
+ifneq ($(filter aarch64%,$(UNAME_M)),)
+endif
+ifneq ($(filter armv6%,$(UNAME_M)),)
+	# Raspberry Pi 1, 2, 3
+	CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access
+endif
+ifneq ($(filter armv7%,$(UNAME_M)),)
+	# Raspberry Pi 4
+	CFLAGS += -mfpu=neon-fp-armv8 -mfp16-format=ieee -mno-unaligned-access -funsafe-math-optimizations
+endif
+ifneq ($(filter armv8%,$(UNAME_M)),)
+	# Raspberry Pi 4
+	CFLAGS += -mfp16-format=ieee -mno-unaligned-access
+endif
+
+#
+# Print build information
+#
+
+$(info I whisper.cpp build info: )
+$(info I UNAME_S:  $(UNAME_S))
+$(info I UNAME_P:  $(UNAME_P))
+$(info I UNAME_M:  $(UNAME_M))
+$(info I CFLAGS:   $(CFLAGS))
+$(info I CXXFLAGS: $(CXXFLAGS))
+$(info I LDFLAGS:  $(LDFLAGS))
+$(info I CC:       $(CCV))
+$(info I CXX:      $(CXXV))
+$(info )
+
+default: main
+
+#
+# Build library
+#
+
+ggml.o: ggml.c ggml.h
+	$(CC)  $(CFLAGS)   -c ggml.c -o ggml.o
+
+whisper.o: whisper.cpp whisper.h
+	$(CXX) $(CXXFLAGS) -c whisper.cpp -o whisper.o
+
+libwhisper.a: ggml.o whisper.o
+	$(AR) rcs libwhisper.a ggml.o whisper.o
+
+libwhisper.so: ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) -shared -o libwhisper.so ggml.o whisper.o $(LDFLAGS)
+
+clean:
+	rm -f *.o main stream command talk bench libwhisper.a libwhisper.so
+
+#
+# Examples
+#
+
+CC_SDL=`sdl2-config --cflags --libs`
+
+SRC_COMMON = examples/common.cpp
+SRC_COMMON_SDL = examples/common-sdl.cpp
+
+main: examples/main/main.cpp $(SRC_COMMON) ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) examples/main/main.cpp $(SRC_COMMON) ggml.o whisper.o -o main $(LDFLAGS)
+	./main -h
+
+stream: examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) examples/stream/stream.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o -o stream $(CC_SDL) $(LDFLAGS)
+
+command: examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) examples/command/command.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o -o command $(CC_SDL) $(LDFLAGS)
+
+talk: examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) examples/talk/talk.cpp examples/talk/gpt-2.cpp $(SRC_COMMON) $(SRC_COMMON_SDL) ggml.o whisper.o -o talk $(CC_SDL) $(LDFLAGS)
+
+bench: examples/bench/bench.cpp ggml.o whisper.o
+	$(CXX) $(CXXFLAGS) examples/bench/bench.cpp ggml.o whisper.o -o bench $(LDFLAGS)
+
 #
 # Audio samples
 #

-.PHONY: build
-build:
-	cmake -B build
-	cmake --build build --config Release
-
 # download a few audio samples into folder "./samples":
 .PHONY: samples
 samples:
@ -16,8 +229,12 @@ samples:
 	@wget --quiet --show-progress -O samples/gb1.ogg https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg
 	@wget --quiet --show-progress -O samples/hp0.ogg https://upload.wikimedia.org/wikipedia/en/d/d4/En.henryfphillips.ogg
 	@wget --quiet --show-progress -O samples/mm1.wav https://cdn.openai.com/whisper/draft-20220913a/micro-machines.wav
-	@wget --quiet --show-progress -O samples/a13.mp3 https://upload.wikimedia.org/wikipedia/commons/transcoded/6/6f/Apollo13-wehaveaproblem.ogg/Apollo13-wehaveaproblem.ogg.mp3
-	@wget --quiet --show-progress -O samples/diffusion2023-07-03.flac https://archive.org/download/diffusion2023-07-03/diffusion2023-07-03.flac
+	@echo "Converting to 16-bit WAV ..."
+	@ffmpeg -loglevel -0 -y -i samples/gb0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb0.wav
+	@ffmpeg -loglevel -0 -y -i samples/gb1.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/gb1.wav
+	@ffmpeg -loglevel -0 -y -i samples/hp0.ogg -ar 16000 -ac 1 -c:a pcm_s16le samples/hp0.wav
+	@ffmpeg -loglevel -0 -y -i samples/mm1.wav -ar 16000 -ac 1 -c:a pcm_s16le samples/mm0.wav
+	@rm samples/mm1.wav

 #
 # Models
@ -35,24 +252,28 @@ samples:
 .PHONY: medium.en
 .PHONY: medium
 .PHONY: large-v1
-.PHONY: large-v2
-.PHONY: large-v3
-.PHONY: large-v3-turbo
+.PHONY: large

-tiny.en tiny base.en base small.en small medium.en medium large-v1 large-v2 large-v3 large-v3-turbo:
+tiny.en tiny base.en base small.en small medium.en medium large-v1 large: main
 	bash ./models/download-ggml-model.sh $@
-	cmake -B build
-	cmake --build build --config Release
 	@echo ""
 	@echo "==============================================="
 	@echo "Running $@ on all samples in ./samples ..."
 	@echo "==============================================="
 	@echo ""
-	@for f in samples/*$(.flac .mp3 .ogg .wav); do \
+	@for f in samples/*.wav; do \
 		echo "----------------------------------------------" ; \
 		echo "[+] Running $@ on $$f ... (run 'ffplay $$f' to listen)" ; \
 	    echo "----------------------------------------------" ; \
 		echo "" ; \
-		./build/bin/whisper-cli -m models/ggml-$@.bin -f $$f ; \
+		./main -m models/ggml-$@.bin -f $$f ; \
 		echo "" ; \
 	done
+
+#
+# Tests
+#
+
+.PHONY: tests
+tests:
+	bash ./tests/run-tests.sh
--- a/README.md
+++ b/README.md
@ -1,47 +1,37 @@
 # whisper.cpp

-![whisper.cpp](https://user-images.githubusercontent.com/1991296/235238348-05d0f6a4-da44-4900-a1de-d0707e75b763.jpeg)
-
 [![Actions Status](https://github.com/ggerganov/whisper.cpp/workflows/CI/badge.svg)](https://github.com/ggerganov/whisper.cpp/actions)
 [![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
-[![Conan Center](https://shields.io/conan/v/whisper-cpp)](https://conan.io/center/whisper-cpp)
 [![npm](https://img.shields.io/npm/v/whisper.cpp.svg)](https://www.npmjs.com/package/whisper.cpp/)

-> [!NOTE]
-> New maintenance roadmap: https://github.com/ggerganov/whisper.cpp/discussions/2788
-
-Stable: [v1.7.4](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.7.4) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)
+Stable: [v1.2.0](https://github.com/ggerganov/whisper.cpp/releases/tag/v1.2.0) / [Roadmap | F.A.Q.](https://github.com/ggerganov/whisper.cpp/discussions/126)

 High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisper) automatic speech recognition (ASR) model:

 - Plain C/C++ implementation without dependencies
- Apple Silicon first-class citizen - optimized via ARM NEON, Accelerate framework, Metal and [Core ML](#core-ml-support)
+- Apple silicon first-class citizen - optimized via Arm Neon and Accelerate framework
 - AVX intrinsics support for x86 architectures
- [VSX intrinsics support for POWER architectures](#power-vsx-intrinsics)
+- VSX intrinsics support for POWER architectures
 - Mixed F16 / F32 precision
- [Integer quantization support](#quantization)
+- Low memory usage (Flash Attention)
 - Zero memory allocations at runtime
- [Vulkan support](#vulkan-gpu-support)
- Support for CPU-only inference
- [Efficient GPU support for NVIDIA](#nvidia-gpu-support)
- [OpenVINO Support](#openvino-support)
- [Ascend NPU Support](#ascend-npu-support)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/include/whisper.h)
+- Runs on the CPU
+- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)

 Supported platforms:

 - [x] Mac OS (Intel and Arm)
 - [x] [iOS](examples/whisper.objc)
 - [x] [Android](examples/whisper.android)
- [x] [Java](bindings/java/README.md)
 - [x] Linux / [FreeBSD](https://github.com/ggerganov/whisper.cpp/issues/56#issuecomment-1350920264)
 - [x] [WebAssembly](examples/whisper.wasm)
 - [x] Windows ([MSVC](https://github.com/ggerganov/whisper.cpp/blob/master/.github/workflows/build.yml#L117-L144) and [MinGW](https://github.com/ggerganov/whisper.cpp/issues/168)]
 - [x] [Raspberry Pi](https://github.com/ggerganov/whisper.cpp/discussions/166)
- [x] [Docker](https://github.com/ggerganov/whisper.cpp/pkgs/container/whisper.cpp)

-The entire high-level implementation of the model is contained in [whisper.h](include/whisper.h) and [whisper.cpp](src/whisper.cpp).
-The rest of the code is part of the [`ggml`](https://github.com/ggerganov/ggml) machine learning library.
+The entire implementation of the model is contained in 2 source files:
+
+- Tensor operations: [ggml.h](ggml.h) / [ggml.c](ggml.c)
+- Transformer inference: [whisper.h](whisper.h) / [whisper.cpp](whisper.cpp)

 Having such a lightweight implementation of the model allows to easily integrate it in different platforms and applications.
 As an example, here is a video of running the model on an iPhone 13 device - fully offline, on-device: [whisper.objc](examples/whisper.objc)
@ -52,53 +42,149 @@ You can also easily make your own offline voice assistant application: [command]

 https://user-images.githubusercontent.com/1991296/204038393-2f846eae-c255-4099-a76d-5735c25c49da.mp4

-On Apple Silicon, the inference runs fully on the GPU via Metal:
+Or you can even run it straight in the browser: [talk.wasm](examples/talk.wasm)

-https://github.com/ggerganov/whisper.cpp/assets/1991296/c82e8f86-60dc-49f2-b048-d2fdbd6b5225
+## Implementation details
+
+- The core tensor operations are implemented in C ([ggml.h](ggml.h) / [ggml.c](ggml.c))
+- The transformer model and the high-level C-style API are implemented in C++ ([whisper.h](whisper.h) / [whisper.cpp](whisper.cpp))
+- Sample usage is demonstrated in [main.cpp](examples/main)
+- Sample real-time audio transcription from the microphone is demonstrated in [stream.cpp](examples/stream)
+- Various other examples are available in the [examples](examples) folder
+
+The tensor operators are optimized heavily for Apple silicon CPUs. Depending on the computation size, Arm Neon SIMD
+instrisics or CBLAS Accelerate framework routines are used. The latter are especially effective for bigger sizes since
+the Accelerate framework utilizes the special-purpose AMX coprocessor available in modern Apple products.

 ## Quick start

-First clone the repository:
+First, download one of the Whisper models converted in [ggml format](models). For example:

 ```bash
-git clone https://github.com/ggerganov/whisper.cpp.git
+bash ./models/download-ggml-model.sh base.en
 ```

-Navigate into the directory:
-
-```
-cd whisper.cpp
-```
-
-Then, download one of the Whisper [models](models/README.md) converted in [`ggml` format](#ggml-format). For example:
+Now build the [main](examples/main) example and transcribe an audio file like this:

 ```bash
-sh ./models/download-ggml-model.sh base.en
-```
-
-Now build the [whisper-cli](examples/cli) example and transcribe an audio file like this:
-
-```bash
-# build the project
-cmake -B build
-cmake --build build --config Release
+# build the main example
+make

 # transcribe an audio file
-./build/bin/whisper-cli -f samples/jfk.wav
+./main -f samples/jfk.wav
 ```

 ---

-For a quick demo, simply run `make base.en`.
+For a quick demo, simply run `make base.en`:
+
+```java
+$ make base.en
+
+cc  -I.              -O3 -std=c11   -pthread -DGGML_USE_ACCELERATE   -c ggml.c -o ggml.o
+c++ -I. -I./examples -O3 -std=c++11 -pthread -c whisper.cpp -o whisper.o
+c++ -I. -I./examples -O3 -std=c++11 -pthread examples/main/main.cpp whisper.o ggml.o -o main  -framework Accelerate
+./main -h
+
+usage: ./main [options] file0.wav file1.wav ...
+
+options:
+  -h,        --help              [default] show this help message and exit
+  -t N,      --threads N         [4      ] number of threads to use during computation
+  -p N,      --processors N      [1      ] number of processors to use during computation
+  -ot N,     --offset-t N        [0      ] time offset in milliseconds
+  -on N,     --offset-n N        [0      ] segment index offset
+  -d  N,     --duration N        [0      ] duration of audio to process in milliseconds
+  -mc N,     --max-context N     [-1     ] maximum number of text context tokens to store
+  -ml N,     --max-len N         [0      ] maximum segment length in characters
+  -bo N,     --best-of N         [5      ] number of best candidates to keep
+  -bs N,     --beam-size N       [-1     ] beam size for beam search
+  -wt N,     --word-thold N      [0.01   ] word timestamp probability threshold
+  -et N,     --entropy-thold N   [2.40   ] entropy threshold for decoder fail
+  -lpt N,    --logprob-thold N   [-1.00  ] log probability threshold for decoder fail
+  -su,       --speed-up          [false  ] speed up audio by x2 (reduced accuracy)
+  -tr,       --translate         [false  ] translate from source language to english
+  -di,       --diarize           [false  ] stereo audio diarization
+  -nf,       --no-fallback       [false  ] do not use temperature fallback while decoding
+  -otxt,     --output-txt        [false  ] output result in a text file
+  -ovtt,     --output-vtt        [false  ] output result in a vtt file
+  -osrt,     --output-srt        [false  ] output result in a srt file
+  -owts,     --output-words      [false  ] output script for generating karaoke video
+  -ocsv,     --output-csv        [false  ] output result in a CSV file
+  -of FNAME, --output-file FNAME [       ] output file path (without file extension)
+  -ps,       --print-special     [false  ] print special tokens
+  -pc,       --print-colors      [false  ] print colors
+  -pp,       --print-progress    [false  ] print progress
+  -nt,       --no-timestamps     [true   ] do not print timestamps
+  -l LANG,   --language LANG     [en     ] spoken language ('auto' for auto-detect)
+             --prompt PROMPT     [       ] initial prompt
+  -m FNAME,  --model FNAME       [models/ggml-base.en.bin] model path
+  -f FNAME,  --file FNAME        [       ] input WAV file path
+
+
+bash ./models/download-ggml-model.sh base.en
+Downloading ggml model base.en ...
+ggml-base.en.bin               100%[========================>] 141.11M  6.34MB/s    in 24s
+Done! Model 'base.en' saved in 'models/ggml-base.en.bin'
+You can now use it like this:
+
+  $ ./main -m models/ggml-base.en.bin -f samples/jfk.wav
+
+
+===============================================
+Running base.en on all samples in ./samples ...
+===============================================
+
+----------------------------------------------
+[+] Running base.en on samples/jfk.wav ... (run 'ffplay samples/jfk.wav' to listen)
+----------------------------------------------
+
+whisper_init_from_file: loading model from 'models/ggml-base.en.bin'
+whisper_model_load: loading model
+whisper_model_load: n_vocab       = 51864
+whisper_model_load: n_audio_ctx   = 1500
+whisper_model_load: n_audio_state = 512
+whisper_model_load: n_audio_head  = 8
+whisper_model_load: n_audio_layer = 6
+whisper_model_load: n_text_ctx    = 448
+whisper_model_load: n_text_state  = 512
+whisper_model_load: n_text_head   = 8
+whisper_model_load: n_text_layer  = 6
+whisper_model_load: n_mels        = 80
+whisper_model_load: f16           = 1
+whisper_model_load: type          = 2
+whisper_model_load: mem required  =  215.00 MB (+    6.00 MB per decoder)
+whisper_model_load: kv self size  =    5.25 MB
+whisper_model_load: kv cross size =   17.58 MB
+whisper_model_load: adding 1607 extra tokens
+whisper_model_load: model ctx     =  140.60 MB
+whisper_model_load: model size    =  140.54 MB
+
+system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
+
+main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
+
+
+[00:00:00.000 --> 00:00:11.000]   And so my fellow Americans, ask not what your country can do for you, ask what you can do for your country.
+
+
+whisper_print_timings:     fallbacks =   0 p /   0 h
+whisper_print_timings:     load time =   113.81 ms
+whisper_print_timings:      mel time =    15.40 ms
+whisper_print_timings:   sample time =    11.58 ms /    27 runs (    0.43 ms per run)
+whisper_print_timings:   encode time =   266.60 ms /     1 runs (  266.60 ms per run)
+whisper_print_timings:   decode time =    66.11 ms /    27 runs (    2.45 ms per run)
+whisper_print_timings:    total time =   476.31 ms
+```

 The command downloads the `base.en` model converted to custom `ggml` format and runs the inference on all `.wav` samples in the folder `samples`.

-For detailed usage instructions, run: `./build/bin/whisper-cli -h`
+For detailed usage instructions, run: `./main -h`

-Note that the [whisper-cli](examples/cli) example currently runs only with 16-bit WAV files, so make sure to convert your input before running the tool.
+Note that the [main](examples/main) example currently runs only with 16-bit WAV files, so make sure to convert your input before running the tool.
 For example, you can use `ffmpeg` like this:

-```bash
+```java
 ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
 ```

@ -107,7 +193,7 @@ ffmpeg -i input.mp3 -ar 16000 -ac 1 -c:a pcm_s16le output.wav
 If you want some extra audio samples to play with, simply run:

 ```
-make -j samples
+make samples
 ```

 This will download a few more audio files from Wikipedia and convert them to 16-bit WAV format via `ffmpeg`.
@ -115,325 +201,124 @@ This will download a few more audio files from Wikipedia and convert them to 16-
 You can download and run the other models as follows:

 ```
-make -j tiny.en
-make -j tiny
-make -j base.en
-make -j base
-make -j small.en
-make -j small
-make -j medium.en
-make -j medium
-make -j large-v1
-make -j large-v2
-make -j large-v3
-make -j large-v3-turbo
+make tiny.en
+make tiny
+make base.en
+make base
+make small.en
+make small
+make medium.en
+make medium
+make large-v1
+make large
 ```

 ## Memory usage

-| Model  | Disk    | Mem     |
-| ------ | ------- | ------- |
-| tiny   | 75 MiB  | ~273 MB |
-| base   | 142 MiB | ~388 MB |
-| small  | 466 MiB | ~852 MB |
-| medium | 1.5 GiB | ~2.1 GB |
-| large  | 2.9 GiB | ~3.9 GB |
-
-## POWER VSX Intrinsics
-
-`whisper.cpp` supports POWER architectures and includes code which
-significantly speeds operation on Linux running on POWER9/10, making it
-capable of faster-than-realtime transcription on underclocked Raptor
-Talos II. Ensure you have a BLAS package installed, and replace the
-standard cmake setup with:
-
-```bash
-# build with GGML_BLAS defined
-cmake -B build -DGGML_BLAS=1
-cmake --build build --config Release
-./build/bin/whisper-cli [ .. etc .. ]
-
-## Quantization
-
-`whisper.cpp` supports integer quantization of the Whisper `ggml` models.
-Quantized models require less memory and disk space and depending on the hardware can be processed more efficiently.
-
-Here are the steps for creating and using a quantized model:
-
-```bash
-# quantize a model with Q5_0 method
-cmake -B build
-cmake --build build --config Release
-./build/bin/quantize models/ggml-base.en.bin models/ggml-base.en-q5_0.bin q5_0
-
-# run the examples as usual, specifying the quantized model file
-./build/bin/whisper-cli -m models/ggml-base.en-q5_0.bin ./samples/gb0.wav
-```
-
-## Core ML support
-
-On Apple Silicon devices, the Encoder inference can be executed on the Apple Neural Engine (ANE) via Core ML. This can result in significant
-speed-up - more than x3 faster compared with CPU-only execution. Here are the instructions for generating a Core ML model and using it with `whisper.cpp`:
-
- Install Python dependencies needed for the creation of the Core ML model:
-
-  ```bash
-  pip install ane_transformers
-  pip install openai-whisper
-  pip install coremltools
-  ```
-
-  - To ensure `coremltools` operates correctly, please confirm that [Xcode](https://developer.apple.com/xcode/) is installed and execute `xcode-select --install` to install the command-line tools.
-  - Python 3.11 is recommended.
-  - MacOS Sonoma (version 14) or newer is recommended, as older versions of MacOS might experience issues with transcription hallucination.
-  - [OPTIONAL] It is recommended to utilize a Python version management system, such as [Miniconda](https://docs.conda.io/en/latest/miniconda.html) for this step:
-    - To create an environment, use: `conda create -n py311-whisper python=3.11 -y`
-    - To activate the environment, use: `conda activate py311-whisper`
-
- Generate a Core ML model. For example, to generate a `base.en` model, use:
-
-  ```bash
-  ./models/generate-coreml-model.sh base.en
-  ```
-
-  This will generate the folder `models/ggml-base.en-encoder.mlmodelc`
-
- Build `whisper.cpp` with Core ML support:
-
-  ```bash
-  # using CMake
-  cmake -B build -DWHISPER_COREML=1
-  cmake --build build -j --config Release
-  ```
-
- Run the examples as usual. For example:
-
-  ```text
-  $ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
-
-  ...
-
-  whisper_init_state: loading Core ML model from 'models/ggml-base.en-encoder.mlmodelc'
-  whisper_init_state: first run on a device may take a while ...
-  whisper_init_state: Core ML model loaded
-
-  system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 | COREML = 1 |
-
-  ...
-  ```
-
-  The first run on a device is slow, since the ANE service compiles the Core ML model to some device-specific format.
-  Next runs are faster.
-
-For more information about the Core ML implementation please refer to PR [#566](https://github.com/ggerganov/whisper.cpp/pull/566).
-
-## OpenVINO support
-
-On platforms that support [OpenVINO](https://github.com/openvinotoolkit/openvino), the Encoder inference can be executed
-on OpenVINO-supported devices including x86 CPUs and Intel GPUs (integrated & discrete).
-
-This can result in significant speedup in encoder performance. Here are the instructions for generating the OpenVINO model and using it with `whisper.cpp`:
-
- First, setup python virtual env. and install python dependencies. Python 3.10 is recommended.
-
-  Windows:
-
-  ```powershell
-  cd models
-  python -m venv openvino_conv_env
-  openvino_conv_env\Scripts\activate
-  python -m pip install --upgrade pip
-  pip install -r requirements-openvino.txt
-  ```
-
-  Linux and macOS:
-
-  ```bash
-  cd models
-  python3 -m venv openvino_conv_env
-  source openvino_conv_env/bin/activate
-  python -m pip install --upgrade pip
-  pip install -r requirements-openvino.txt
-  ```
-
- Generate an OpenVINO encoder model. For example, to generate a `base.en` model, use:
-
-  ```
-  python convert-whisper-to-openvino.py --model base.en
-  ```
-
-  This will produce ggml-base.en-encoder-openvino.xml/.bin IR model files. It's recommended to relocate these to the same folder as `ggml` models, as that
-  is the default location that the OpenVINO extension will search at runtime.
-
- Build `whisper.cpp` with OpenVINO support:
-
-  Download OpenVINO package from [release page](https://github.com/openvinotoolkit/openvino/releases). The recommended version to use is [2023.0.0](https://github.com/openvinotoolkit/openvino/releases/tag/2023.0.0).
-
-  After downloading & extracting package onto your development system, set up required environment by sourcing setupvars script. For example:
-
-  Linux:
-
-  ```bash
-  source /path/to/l_openvino_toolkit_ubuntu22_2023.0.0.10926.b4452d56304_x86_64/setupvars.sh
-  ```
-
-  Windows (cmd):
-
-  ```powershell
-  C:\Path\To\w_openvino_toolkit_windows_2023.0.0.10926.b4452d56304_x86_64\setupvars.bat
-  ```
-
-  And then build the project using cmake:
-
-  ```bash
-  cmake -B build -DWHISPER_OPENVINO=1
-  cmake --build build -j --config Release
-  ```
-
- Run the examples as usual. For example:
-
-  ```text
-  $ ./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/jfk.wav
-
-  ...
-
-  whisper_ctx_init_openvino_encoder: loading OpenVINO model from 'models/ggml-base.en-encoder-openvino.xml'
-  whisper_ctx_init_openvino_encoder: first run on a device may take a while ...
-  whisper_openvino_init: path_model = models/ggml-base.en-encoder-openvino.xml, device = GPU, cache_dir = models/ggml-base.en-encoder-openvino-cache
-  whisper_ctx_init_openvino_encoder: OpenVINO model loaded
-
-  system_info: n_threads = 4 / 8 | AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | COREML = 0 | OPENVINO = 1 |
-
-  ...
-  ```
-
-  The first time run on an OpenVINO device is slow, since the OpenVINO framework will compile the IR (Intermediate Representation) model to a device-specific 'blob'. This device-specific blob will get
-  cached for the next run.
-
-For more information about the OpenVINO implementation please refer to PR [#1037](https://github.com/ggerganov/whisper.cpp/pull/1037).
-
-## NVIDIA GPU support
-
-With NVIDIA cards the processing of the models is done efficiently on the GPU via cuBLAS and custom CUDA kernels.
-First, make sure you have installed `cuda`: https://developer.nvidia.com/cuda-downloads
-
-Now build `whisper.cpp` with CUDA support:
-
-```
-cmake -B build -DGGML_CUDA=1
-cmake --build build -j --config Release
-```
-
-## Vulkan GPU support
-Cross-vendor solution which allows you to accelerate workload on your GPU.
-First, make sure your graphics card driver provides support for Vulkan API.
-
-Now build `whisper.cpp` with Vulkan support:
-```
-cmake -B build -DGGML_VULKAN=1
-cmake --build build -j --config Release
-```
-
-## BLAS CPU support via OpenBLAS
-
-Encoder processing can be accelerated on the CPU via OpenBLAS.
-First, make sure you have installed `openblas`: https://www.openblas.net/
-
-Now build `whisper.cpp` with OpenBLAS support:
-
-```
-cmake -B build -DGGML_BLAS=1
-cmake --build build -j --config Release
-```
-
-## Ascend NPU support
-
-Ascend NPU provides inference acceleration via [`CANN`](https://www.hiascend.com/en/software/cann) and AI cores.
-
-First, check if your Ascend NPU device is supported:
-
-**Verified devices**
-| Ascend NPU                    | Status  |
-|:-----------------------------:|:-------:|
-| Atlas 300T A2                 | Support |
-
-Then, make sure you have installed [`CANN toolkit`](https://www.hiascend.com/en/software/cann/community) . The lasted version of CANN is recommanded.
-
-Now build `whisper.cpp` with CANN support:
-
-```
-cmake -B build -DGGML_CANN=1
-cmake --build build -j --config Release
-```
-
-Run the inference examples as usual, for example:
-
-```
-./build/bin/whisper-cli -f samples/jfk.wav -m models/ggml-base.en.bin -t 8
-```
-
-*Notes:*
-
- If you have trouble with Ascend NPU device, please create a issue with **[CANN]** prefix/tag.
- If you run successfully with your Ascend NPU device, please help update the table `Verified devices`.
-
-## Docker
-
-### Prerequisites
-
- Docker must be installed and running on your system.
- Create a folder to store big models & intermediate files (ex. /whisper/models)
-
-### Images
-
-We have two Docker images available for this project:
-
-1. `ghcr.io/ggerganov/whisper.cpp:main`: This image includes the main executable file as well as `curl` and `ffmpeg`. (platforms: `linux/amd64`, `linux/arm64`)
-2. `ghcr.io/ggerganov/whisper.cpp:main-cuda`: Same as `main` but compiled with CUDA support. (platforms: `linux/amd64`)
-
-### Usage
-
-```shell
-# download model and persist it in a local folder
-docker run -it --rm \
-  -v path/to/models:/models \
-  whisper.cpp:main "./models/download-ggml-model.sh base /models"
-# transcribe an audio file
-docker run -it --rm \
-  -v path/to/models:/models \
-  -v path/to/audios:/audios \
-  whisper.cpp:main "./main -m /models/ggml-base.bin -f /audios/jfk.wav"
-# transcribe an audio file in samples folder
-docker run -it --rm \
-  -v path/to/models:/models \
-  whisper.cpp:main "./main -m /models/ggml-base.bin -f ./samples/jfk.wav"
-```
-
-## Installing with Conan
-
-You can install pre-built binaries for whisper.cpp or build it from source using [Conan](https://conan.io/). Use the following command:
-
-```
-conan install --requires="whisper-cpp/[*]" --build=missing
-```
-
-For detailed instructions on how to use Conan, please refer to the [Conan documentation](https://docs.conan.io/2/).
+| Model  | Disk   | Mem     | SHA                                        |
+| ---    | ---    | ---     | ---                                        |
+| tiny   |  75 MB | ~125 MB | `bd577a113a864445d4c299885e0cb97d4ba92b5f` |
+| base   | 142 MB | ~210 MB | `465707469ff3a37a2b9b8d8f89f2f99de7299dac` |
+| small  | 466 MB | ~600 MB | `55356645c2b361a969dfd0ef2c5a50d530afd8d5` |
+| medium | 1.5 GB | ~1.7 GB | `fd9727b6e1217c2f614f9b698455c4ffd82463b4` |
+| large  | 2.9 GB | ~3.3 GB | `0f4c8e34f21cf1a914c59d8b3ce882345ad349d6` |

 ## Limitations

 - Inference only
+- No GPU support (yet)
+
+## Another example
+
+Here is another example of transcribing a [3:24 min speech](https://upload.wikimedia.org/wikipedia/commons/1/1f/George_W_Bush_Columbia_FINAL.ogg)
+in about half a minute on a MacBook M1 Pro, using `medium.en` model:
+
+<details>
+  <summary>Expand to see the result</summary>
+
+```java
+$ ./main -m models/ggml-medium.en.bin -f samples/gb1.wav -t 8
+
+whisper_init_from_file: loading model from 'models/ggml-medium.en.bin'
+whisper_model_load: loading model
+whisper_model_load: n_vocab       = 51864
+whisper_model_load: n_audio_ctx   = 1500
+whisper_model_load: n_audio_state = 1024
+whisper_model_load: n_audio_head  = 16
+whisper_model_load: n_audio_layer = 24
+whisper_model_load: n_text_ctx    = 448
+whisper_model_load: n_text_state  = 1024
+whisper_model_load: n_text_head   = 16
+whisper_model_load: n_text_layer  = 24
+whisper_model_load: n_mels        = 80
+whisper_model_load: f16           = 1
+whisper_model_load: type          = 4
+whisper_model_load: mem required  = 1720.00 MB (+   43.00 MB per decoder)
+whisper_model_load: kv self size  =   42.00 MB
+whisper_model_load: kv cross size =  140.62 MB
+whisper_model_load: adding 1607 extra tokens
+whisper_model_load: model ctx     = 1462.35 MB
+whisper_model_load: model size    = 1462.12 MB
+
+system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | FMA = 0 | NEON = 1 | ARM_FMA = 1 | F16C = 0 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | SSE3 = 0 | VSX = 0 |
+
+main: processing 'samples/gb1.wav' (3179750 samples, 198.7 sec), 8 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...
+
+
+[00:00:00.000 --> 00:00:08.000]   My fellow Americans, this day has brought terrible news and great sadness to our country.
+[00:00:08.000 --> 00:00:17.000]   At nine o'clock this morning, Mission Control in Houston lost contact with our Space Shuttle Columbia.
+[00:00:17.000 --> 00:00:23.000]   A short time later, debris was seen falling from the skies above Texas.
+[00:00:23.000 --> 00:00:29.000]   The Columbia's lost. There are no survivors.
+[00:00:29.000 --> 00:00:32.000]   On board was a crew of seven.
+[00:00:32.000 --> 00:00:39.000]   Colonel Rick Husband, Lieutenant Colonel Michael Anderson, Commander Laurel Clark,
+[00:00:39.000 --> 00:00:48.000]   Captain David Brown, Commander William McCool, Dr. Kultna Shavla, and Ilan Ramon,
+[00:00:48.000 --> 00:00:52.000]   a colonel in the Israeli Air Force.
+[00:00:52.000 --> 00:00:58.000]   These men and women assumed great risk in the service to all humanity.
+[00:00:58.000 --> 00:01:03.000]   In an age when space flight has come to seem almost routine,
+[00:01:03.000 --> 00:01:07.000]   it is easy to overlook the dangers of travel by rocket
+[00:01:07.000 --> 00:01:12.000]   and the difficulties of navigating the fierce outer atmosphere of the Earth.
+[00:01:12.000 --> 00:01:18.000]   These astronauts knew the dangers, and they faced them willingly,
+[00:01:18.000 --> 00:01:23.000]   knowing they had a high and noble purpose in life.
+[00:01:23.000 --> 00:01:31.000]   Because of their courage and daring and idealism, we will miss them all the more.
+[00:01:31.000 --> 00:01:36.000]   All Americans today are thinking as well of the families of these men and women
+[00:01:36.000 --> 00:01:40.000]   who have been given this sudden shock and grief.
+[00:01:40.000 --> 00:01:45.000]   You're not alone. Our entire nation grieves with you,
+[00:01:45.000 --> 00:01:52.000]   and those you love will always have the respect and gratitude of this country.
+[00:01:52.000 --> 00:01:56.000]   The cause in which they died will continue.
+[00:01:56.000 --> 00:02:04.000]   Mankind is led into the darkness beyond our world by the inspiration of discovery
+[00:02:04.000 --> 00:02:11.000]   and the longing to understand. Our journey into space will go on.
+[00:02:11.000 --> 00:02:16.000]   In the skies today, we saw destruction and tragedy.
+[00:02:16.000 --> 00:02:22.000]   Yet farther than we can see, there is comfort and hope.
+[00:02:22.000 --> 00:02:29.000]   In the words of the prophet Isaiah, "Lift your eyes and look to the heavens
+[00:02:29.000 --> 00:02:35.000]   who created all these. He who brings out the starry hosts one by one
+[00:02:35.000 --> 00:02:39.000]   and calls them each by name."
+[00:02:39.000 --> 00:02:46.000]   Because of His great power and mighty strength, not one of them is missing.
+[00:02:46.000 --> 00:02:55.000]   The same Creator who names the stars also knows the names of the seven souls we mourn today.
+[00:02:55.000 --> 00:03:01.000]   The crew of the shuttle Columbia did not return safely to earth,
+[00:03:01.000 --> 00:03:05.000]   yet we can pray that all are safely home.
+[00:03:05.000 --> 00:03:13.000]   May God bless the grieving families, and may God continue to bless America.
+[00:03:13.000 --> 00:03:19.000]   [Silence]
+
+
+whisper_print_timings:     fallbacks =   1 p /   0 h
+whisper_print_timings:     load time =   569.03 ms
+whisper_print_timings:      mel time =   146.85 ms
+whisper_print_timings:   sample time =   238.66 ms /   553 runs (    0.43 ms per run)
+whisper_print_timings:   encode time = 18665.10 ms /     9 runs ( 2073.90 ms per run)
+whisper_print_timings:   decode time = 13090.93 ms /   549 runs (   23.85 ms per run)
+whisper_print_timings:    total time = 32733.52 ms
+```
+</details>

 ## Real-time audio input example

 This is a naive example of performing real-time inference on audio from your microphone.
-The [stream](examples/stream) tool samples the audio every half a second and runs the transcription continuously.
-More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10). 
-You will need to have [sdl2](https://wiki.libsdl.org/SDL2/Installation) installed for it to work properly. 
+The [stream](examples/stream) tool samples the audio every half a second and runs the transcription continously.
+More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).

-```bash
-cmake -B build -DWHISPER_SDL2=ON
-cmake --build build --config Release
-./build/bin/whisper-stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
+```java
+make stream
+./stream -m ./models/ggml-base.en.bin -t 8 --step 500 --length 5000
 ```

 https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a80f-28ba83be7d09.mp4
@ -443,18 +328,14 @@ https://user-images.githubusercontent.com/1991296/194935793-76afede7-cfa8-48d8-a
 Adding the `--print-colors` argument will print the transcribed text using an experimental color coding strategy
 to highlight words with high or low confidence:

-```bash
-./build/bin/whisper-cli -m models/ggml-base.en.bin -f samples/gb0.wav --print-colors
-```
-
 <img width="965" alt="image" src="https://user-images.githubusercontent.com/1991296/197356445-311c8643-9397-4e5e-b46e-0b4b4daa2530.png">

 ## Controlling the length of the generated text segments (experimental)

 For example, to limit the line length to a maximum of 16 characters, simply add `-ml 16`:

-```text
-$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16
+```java
+./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 16

 whisper_model_load: loading model from './models/ggml-base.en.bin'
 ...
@ -473,12 +354,12 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
 [00:00:10.020 --> 00:00:11.000]   country.
 ```

-## Word-level timestamp (experimental)
+## Word-level timestamp

 The `--max-len` argument can be used to obtain word-level timestamps. Simply use `-ml 1`:

-```text
-$ ./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1
+```java
+./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -ml 1

 whisper_model_load: loading model from './models/ggml-base.en.bin'
 ...
@ -486,7 +367,7 @@ system_info: n_threads = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1

 main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ...

-[00:00:00.000 --> 00:00:00.320]
+[00:00:00.000 --> 00:00:00.320]  
 [00:00:00.320 --> 00:00:00.370]   And
 [00:00:00.370 --> 00:00:00.690]   so
 [00:00:00.690 --> 00:00:00.850]   my
@ -514,42 +395,16 @@ main: processing './samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 pr
 [00:00:10.510 --> 00:00:11.000]  .
 ```

-## Speaker segmentation via tinydiarize (experimental)
-
-More information about this approach is available here: https://github.com/ggerganov/whisper.cpp/pull/1058
-
-Sample usage:
-
-```py
-# download a tinydiarize compatible model
-./models/download-ggml-model.sh small.en-tdrz
-
-# run as usual, adding the "-tdrz" command-line argument
-./build/bin/whisper-cli -f ./samples/a13.wav -m ./models/ggml-small.en-tdrz.bin -tdrz
-...
-main: processing './samples/a13.wav' (480000 samples, 30.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, tdrz = 1, timestamps = 1 ...
-...
-[00:00:00.000 --> 00:00:03.800]   Okay Houston, we've had a problem here. [SPEAKER_TURN]
-[00:00:03.800 --> 00:00:06.200]   This is Houston. Say again please. [SPEAKER_TURN]
-[00:00:06.200 --> 00:00:08.260]   Uh Houston we've had a problem.
-[00:00:08.260 --> 00:00:11.320]   We've had a main beam up on a volt. [SPEAKER_TURN]
-[00:00:11.320 --> 00:00:13.820]   Roger main beam interval. [SPEAKER_TURN]
-[00:00:13.820 --> 00:00:15.100]   Uh uh [SPEAKER_TURN]
-[00:00:15.100 --> 00:00:18.020]   So okay stand, by thirteen we're looking at it. [SPEAKER_TURN]
-[00:00:18.020 --> 00:00:25.740]   Okay uh right now uh Houston the uh voltage is uh is looking good um.
-[00:00:27.620 --> 00:00:29.940]   And we had a a pretty large bank or so.
-```
-
 ## Karaoke-style movie generation (experimental)

-The [whisper-cli](examples/cli) example provides support for output of karaoke-style movies, where the
+The [main](examples/main) example provides support for output of karaoke-style movies, where the
 currently pronounced word is highlighted. Use the `-wts` argument and run the generated bash script.
 This requires to have `ffmpeg` installed.

-Here are a few _"typical"_ examples:
+Here are a few *"typical"* examples:

-```bash
-./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
+```java
+./main -m ./models/ggml-base.en.bin -f ./samples/jfk.wav -owts
 source ./samples/jfk.wav.wts
 ffplay ./samples/jfk.wav.mp4
 ```
@ -558,8 +413,8 @@ https://user-images.githubusercontent.com/1991296/199337465-dbee4b5e-9aeb-48a3-b

 ---

-```bash
-./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
+```java
+./main -m ./models/ggml-base.en.bin -f ./samples/mm0.wav -owts
 source ./samples/mm0.wav.wts
 ffplay ./samples/mm0.wav.mp4
 ```
@ -568,8 +423,8 @@ https://user-images.githubusercontent.com/1991296/199337504-cc8fd233-0cb7-4920-9

 ---

-```bash
-./build/bin/whisper-cli -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
+```java
+./main -m ./models/ggml-base.en.bin -f ./samples/gb0.wav -owts
 source ./samples/gb0.wav.wts
 ffplay ./samples/gb0.wav.mp4
 ```
@ -578,40 +433,15 @@ https://user-images.githubusercontent.com/1991296/199337538-b7b0c7a3-2753-4a88-a

 ---

-## Video comparison of different models
-
-Use the [scripts/bench-wts.sh](https://github.com/ggerganov/whisper.cpp/blob/master/scripts/bench-wts.sh) script to generate a video in the following format:
-
-```bash
-./scripts/bench-wts.sh samples/jfk.wav
-ffplay ./samples/jfk.wav.all.mp4
-```
-
-https://user-images.githubusercontent.com/1991296/223206245-2d36d903-cf8e-4f09-8c3b-eb9f9c39d6fc.mp4
-
---
-
 ## Benchmarks

 In order to have an objective comparison of the performance of the inference across different system configurations,
-use the [whisper-bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
+use the [bench](examples/bench) tool. The tool simply runs the Encoder part of the model and prints how much time it
 took to execute it. The results are summarized in the following Github issue:

 [Benchmark results](https://github.com/ggerganov/whisper.cpp/issues/89)

-Additionally a script to run whisper.cpp with different models and audio files is provided [bench.py](scripts/bench.py).
-
-You can run it with the following command, by default it will run against any standard model in the models folder.
-
-```bash
-python3 scripts/bench.py -f samples/jfk.wav -t 2,4,8 -p 1,2
-```
-
-It is written in python with the intention of being easy to modify and extend for your benchmarking use case.
-
-It outputs a csv file with the results of the benchmarking.
-
-## `ggml` format
+## ggml format

 The original models are converted to a custom binary format. This allows to pack everything needed into a single file:

@ -623,54 +453,43 @@ The original models are converted to a custom binary format. This allows to pack
 You can download the converted models using the [models/download-ggml-model.sh](models/download-ggml-model.sh) script
 or manually from here:

- https://huggingface.co/ggerganov/whisper.cpp
+- https://huggingface.co/datasets/ggerganov/whisper.cpp
 - https://ggml.ggerganov.com

-For more details, see the conversion script [models/convert-pt-to-ggml.py](models/convert-pt-to-ggml.py) or [models/README.md](models/README.md).
+For more details, see the conversion script [models/convert-pt-to-ggml.py](models/convert-pt-to-ggml.py) or the README
+in [models](models).

 ## [Bindings](https://github.com/ggerganov/whisper.cpp/discussions/categories/bindings)

- [x] Rust: [tazz4843/whisper-rs](https://github.com/tazz4843/whisper-rs) | [#310](https://github.com/ggerganov/whisper.cpp/discussions/310)
- [x] JavaScript: [bindings/javascript](bindings/javascript) | [#309](https://github.com/ggerganov/whisper.cpp/discussions/309)
-  - React Native (iOS / Android): [whisper.rn](https://github.com/mybigday/whisper.rn)
- [x] Go: [bindings/go](bindings/go) | [#312](https://github.com/ggerganov/whisper.cpp/discussions/312)
- [x] Java:
-  - [GiviMAD/whisper-jni](https://github.com/GiviMAD/whisper-jni)
- [x] Ruby: [bindings/ruby](bindings/ruby) | [#507](https://github.com/ggerganov/whisper.cpp/discussions/507)
- [x] Objective-C / Swift: [ggerganov/whisper.spm](https://github.com/ggerganov/whisper.spm) | [#313](https://github.com/ggerganov/whisper.cpp/discussions/313)
-  - [exPHAT/SwiftWhisper](https://github.com/exPHAT/SwiftWhisper)
- [x] .NET: | [#422](https://github.com/ggerganov/whisper.cpp/discussions/422)
+- [X] Rust: [tazz4843/whisper-rs](https://github.com/tazz4843/whisper-rs) | [#310](https://github.com/ggerganov/whisper.cpp/discussions/310)
+- [X] Javascript: [bindings/javascript](bindings/javascript) | [#309](https://github.com/ggerganov/whisper.cpp/discussions/309)
+- [X] Go: [bindings/go](bindings/go) | [#312](https://github.com/ggerganov/whisper.cpp/discussions/312)
+- [X] Ruby: [bindings/ruby](bindings/ruby) | [#507](https://github.com/ggerganov/whisper.cpp/discussions/507)
+- [X] Objective-C / Swift: [ggerganov/whisper.spm](https://github.com/ggerganov/whisper.spm) | [#313](https://github.com/ggerganov/whisper.cpp/discussions/313)
+- [X] .NET: | [#422](https://github.com/ggerganov/whisper.cpp/discussions/422)
  - [sandrohanea/whisper.net](https://github.com/sandrohanea/whisper.net)
  - [NickDarvey/whisper](https://github.com/NickDarvey/whisper)
- [x] Python: | [#9](https://github.com/ggerganov/whisper.cpp/issues/9)
-  - [stlukey/whispercpp.py](https://github.com/stlukey/whispercpp.py) (Cython)
-  - [AIWintermuteAI/whispercpp](https://github.com/AIWintermuteAI/whispercpp) (Updated fork of aarnphm/whispercpp)
-  - [aarnphm/whispercpp](https://github.com/aarnphm/whispercpp) (Pybind11)
-  - [abdeladim-s/pywhispercpp](https://github.com/abdeladim-s/pywhispercpp) (Pybind11)
- [x] R: [bnosac/audio.whisper](https://github.com/bnosac/audio.whisper)
- [x] Unity: [macoron/whisper.unity](https://github.com/Macoron/whisper.unity)
+- [ ] Python: soon | [WIP](https://github.com/ggerganov/whisper.cpp/issues/9)

 ## Examples

 There are various examples of using the library for different projects in the [examples](examples) folder.
 Some of the examples are even ported to run in the browser using WebAssembly. Check them out!

-| Example                                             | Web                                   | Description                                                                                                                     |
-| --------------------------------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- |
-| [whisper-cli](examples/cli)                         | [whisper.wasm](examples/whisper.wasm) | Tool for translating and transcribing audio using Whisper                                                                       |
-| [whisper-bench](examples/bench)                     | [bench.wasm](examples/bench.wasm)     | Benchmark the performance of Whisper on your machine                                                                            |
-| [whisper-stream](examples/stream)                   | [stream.wasm](examples/stream.wasm)   | Real-time transcription of raw microphone capture                                                                               |
-| [whisper-command](examples/command)                 | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic                                                         |
-| [whisper-server](examples/server)                   |                                       | HTTP transcription server with OAI-like API                                                                                     |
-| [whisper-talk-llama](examples/talk-llama)           |                                       | Talk with a LLaMA bot                                                                                                           |
-| [whisper.objc](examples/whisper.objc)               |                                       | iOS mobile application using whisper.cpp                                                                                        |
-| [whisper.swiftui](examples/whisper.swiftui)         |                                       | SwiftUI iOS / macOS application using whisper.cpp                                                                               |
-| [whisper.android](examples/whisper.android)         |                                       | Android mobile application using whisper.cpp                                                                                    |
-| [whisper.nvim](examples/whisper.nvim)               |                                       | Speech-to-text plugin for Neovim                                                                                                |
-| [generate-karaoke.sh](examples/generate-karaoke.sh) |                                       | Helper script to easily [generate a karaoke video](https://youtu.be/uj7hVta4blM) of raw audio capture                           |
-| [livestream.sh](examples/livestream.sh)             |                                       | [Livestream audio transcription](https://github.com/ggerganov/whisper.cpp/issues/185)                                           |
-| [yt-wsp.sh](examples/yt-wsp.sh)                     |                                       | Download + transcribe and/or translate any VOD [(original)](https://gist.github.com/DaniruKun/96f763ec1a037cc92fe1a059b643b818) |
-| [wchess](examples/wchess)                           | [wchess.wasm](examples/wchess)        | Voice-controlled chess                                                                                                          |
+| Example | Web | Description |
+| ---     | --- | ---         |
+| [main](examples/main) | [whisper.wasm](examples/whisper.wasm) | Tool for translating and transcribing audio using Whisper |
+| [bench](examples/bench) | [bench.wasm](examples/bench.wasm) | Benchmark the performance of Whisper on your machine |
+| [stream](examples/stream) | [stream.wasm](examples/stream.wasm) | Real-time transcription of raw microphone capture |
+| [command](examples/command) | [command.wasm](examples/command.wasm) | Basic voice assistant example for receiving voice commands from the mic |
+| [talk](examples/talk) | [talk.wasm](examples/talk.wasm) | Talk with a GPT-2 bot |
+| [whisper.objc](examples/whisper.objc) | | iOS mobile application using whisper.cpp |
+| [whisper.swiftui](examples/whisper.swiftui) | | SwiftUI iOS / macOS application using whisper.cpp |
+| [whisper.android](examples/whisper.android) | | Android mobile application using whisper.cpp |
+| [whisper.nvim](examples/whisper.nvim) | | Speech-to-text plugin for Neovim |
+| [generate-karaoke.sh](examples/generate-karaoke.sh) | | Helper script to easily [generate a karaoke video](https://youtu.be/uj7hVta4blM) of raw audio capture |
+| [livestream.sh](examples/livestream.sh) | | [Livestream audio transcription](https://github.com/ggerganov/whisper.cpp/issues/185) |
+| [yt-wsp.sh](examples/yt-wsp.sh) | | Download + transcribe and/or translate any VOD [(original)](https://gist.github.com/DaniruKun/96f763ec1a037cc92fe1a059b643b818) |

 ## [Discussions](https://github.com/ggerganov/whisper.cpp/discussions)

--- a/README_sycl.md
+++ b/README_sycl.md
@ -1,249 +0,0 @@
-# whisper.cpp for SYCL
-
-[Background](#background)
-
-[OS](#os)
-
-[Intel GPU](#intel-gpu)
-
-[Linux](#linux)
-
-[Environment Variable](#environment-variable)
-
-[Known Issue](#known-issue)
-
-[Todo](#todo)
-
-## Background
-
-SYCL is a higher-level programming model to improve programming productivity on various hardware accelerators<72>such as CPUs, GPUs, and FPGAs. It is a single-source embedded domain-specific language based on pure C++17.
-
-oneAPI is a specification that is open and standards-based, supporting multiple architecture types including but not limited to GPU, CPU, and FPGA. The spec has both direct programming and API-based programming paradigms.
-
-Intel uses the SYCL as direct programming language to support CPU, GPUs and FPGAs.
-
-To avoid  re-inventing the wheel, this code refers other code paths in llama.cpp (like OpenBLAS, cuBLAS, CLBlast). We use a open-source tool [SYCLomatic](https://github.com/oneapi-src/SYCLomatic) (Commercial release [Intel<EFBFBD> DPC++ Compatibility Tool](https://www.intel.com/content/www/us/en/developer/tools/oneapi/dpc-compatibility-tool.html)) migrate to SYCL.
-
-The whisper.cpp for SYCL is used to support Intel GPUs.
-
-For Intel CPU, recommend to use whisper.cpp for X86 (Intel MKL build).
-
-## OS
-
-|OS|Status|Verified|
-|-|-|-|
-|Linux|Support|Ubuntu 22.04|
-|Windows|Ongoing| |
-
-
-## Intel GPU
-
-|Intel GPU| Status | Verified Model|
-|-|-|-|
-|Intel Data Center Max Series| Support| Max 1550|
-|Intel Data Center Flex Series| Support| Flex 170|
-|Intel Arc Series| Support| Arc 770|
-|Intel built-in Arc GPU| Support| built-in Arc GPU in Meteor Lake|
-|Intel iGPU| Support| iGPU in i5-1250P, i7-1165G7|
-
-
-## Linux
-
-### Setup Environment
-
-1. Install Intel GPU driver.
-
-a. Please install Intel GPU driver by official guide: [Install GPU Drivers](https://dgpu-docs.intel.com/driver/installation.html).
-
-Note: for iGPU, please install the client GPU driver.
-
-b. Add user to group: video, render.
-
-```
-sudo usermod -aG render username
-sudo usermod -aG video username
-```
-
-Note: re-login to enable it.
-
-c. Check
-
-```
-sudo apt install clinfo
-sudo clinfo -l
-```
-
-Output (example):
-
-```
-Platform #0: Intel(R) OpenCL Graphics
- `-- Device #0: Intel(R) Arc(TM) A770 Graphics
-
-
-Platform #0: Intel(R) OpenCL HD Graphics
- `-- Device #0: Intel(R) Iris(R) Xe Graphics [0x9a49]
-```
-
-2. Install Intel<65> oneAPI Base toolkit.
-
-
-a. Please follow the procedure in [Get the Intel<65> oneAPI Base Toolkit ](https://www.intel.com/content/www/us/en/developer/tools/oneapi/base-toolkit.html).
-
-Recommend to install to default folder: **/opt/intel/oneapi**.
-
-Following guide use the default folder as example. If you use other folder, please modify the following guide info with your folder.
-
-b. Check
-
-```
-source /opt/intel/oneapi/setvars.sh
-
-sycl-ls
-```
-
-There should be one or more level-zero devices. Like **[ext_oneapi_level_zero:gpu:0]**.
-
-Output (example):
-```
-[opencl:acc:0] Intel(R) FPGA Emulation Platform for OpenCL(TM), Intel(R) FPGA Emulation Device OpenCL 1.2  [2023.16.10.0.17_160000]
-[opencl:cpu:1] Intel(R) OpenCL, 13th Gen Intel(R) Core(TM) i7-13700K OpenCL 3.0 (Build 0) [2023.16.10.0.17_160000]
-[opencl:gpu:2] Intel(R) OpenCL Graphics, Intel(R) Arc(TM) A770 Graphics OpenCL 3.0 NEO  [23.30.26918.50]
-[ext_oneapi_level_zero:gpu:0] Intel(R) Level-Zero, Intel(R) Arc(TM) A770 Graphics 1.3 [1.3.26918]
-
-```
-
-2. Build locally:
-
-```
-mkdir -p build
-cd build
-source /opt/intel/oneapi/setvars.sh
-
-#for FP16
-#cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx -DWHISPER_SYCL_F16=ON 
-
-#for FP32
-cmake .. -DWHISPER_SYCL=ON -DCMAKE_C_COMPILER=icx -DCMAKE_CXX_COMPILER=icpx
-
-#build example/main only
-#cmake --build . --config Release --target main
-
-#build all binary
-cmake --build . --config Release -v
-
-```
-
-or
-
-```
-./examples/sycl/build.sh
-```
-
-Note:
-
- By default, it will build for all binary files. It will take more time. To reduce the time, we recommend to build for **example/main** only.
-
-### Run
-
-1. Put model file to folder **models**
-
-2. Enable oneAPI running environment
-
-```
-source /opt/intel/oneapi/setvars.sh
-```
-
-3. List device ID
-
-Run without parameter:
-
-```
-./build/bin/ls-sycl-device
-
-or
-
-./build/bin/main
-```
-
-Check the ID in startup log, like:
-
-```
-found 4 SYCL devices:
-  Device 0: Intel(R) Arc(TM) A770 Graphics,	compute capability 1.3,
-    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136
-  Device 1: Intel(R) FPGA Emulation Device,	compute capability 1.2,
-    max compute_units 24,	max work group size 67108864,	max sub group size 64,	global mem size 67065057280
-  Device 2: 13th Gen Intel(R) Core(TM) i7-13700K,	compute capability 3.0,
-    max compute_units 24,	max work group size 8192,	max sub group size 64,	global mem size 67065057280
-  Device 3: Intel(R) Arc(TM) A770 Graphics,	compute capability 3.0,
-    max compute_units 512,	max work group size 1024,	max sub group size 32,	global mem size 16225243136
-
-```
-
-|Attribute|Note|
-|-|-|
-|compute capability 1.3|Level-zero running time, recommended |
-|compute capability 3.0|OpenCL running time, slower than level-zero in most cases|
-
-4. Set device ID and execute whisper.cpp
-
-Set device ID = 0 by **GGML_SYCL_DEVICE=0**
-
-```
-GGML_SYCL_DEVICE=0 ./build/bin/main -m models/ggml-base.en.bin -f samples/jfk.wav
-```
-or run by script:
-
-```
-./examples/sycl/run_whisper.sh
-```
-
-
-
-5. Check the device ID in output
-
-Like:
-```
-Using device **0** (Intel(R) Arc(TM) A770 Graphics) as main device
-```
-
-
-## Environment Variable
-
-#### Build
-
-|Name|Value|Function|
-|-|-|-|
-|WHISPER_SYCL|ON (mandatory)|Enable build with SYCL code path. <br>For FP32/FP16, WHISPER_SYCL=ON is mandatory.|
-|WHISPER_SYCL_F16|ON (optional)|Enable FP16 build with SYCL code path.For FP32, do not set it.|
-|CMAKE_C_COMPILER|icx|Use icx compiler for SYCL code path|
-|CMAKE_CXX_COMPILER|icpx|use icpx for SYCL code path|
-
-#### Running
-
-
-|Name|Value|Function|
-|-|-|-|
-|GGML_SYCL_DEVICE|0 (default) or 1|Set the device id used. Check the device ids by default running output|
-|GGML_SYCL_DEBUG|0 (default) or 1|Enable log function by macro: GGML_SYCL_DEBUG|
-
-## Known Issue
-
- Error:  `error while loading shared libraries: libsycl.so.7: cannot open shared object file: No such file or directory`.
-
-  Miss to enable oneAPI running environment.
-
-  Install oneAPI base toolkit and enable it by: `source /opt/intel/oneapi/setvars.sh`.
-
-
- Hang during startup
-
-  llama.cpp use mmap as default way to read model file and copy to GPU. In some system, memcpy will be abnormal and block.
-
-  Solution: add **--no-mmap**.
-
-## Todo
-
- Support to build in Windows.
-
- Support multiple cards.
--- a/bindings/go/Makefile
+++ b/bindings/go/Makefile
@ -1,47 +1,18 @@
-ifndef UNAME_S
-UNAME_S := $(shell uname -s)
-endif
-
-ifndef UNAME_P
-UNAME_P := $(shell uname -p)
-endif
-
-ifndef UNAME_M
-UNAME_M := $(shell uname -m)
-endif
-
-GGML_METAL_PATH_RESOURCES := $(abspath ../..)
-BUILD_DIR := build_go
+BUILD_DIR := build
 MODELS_DIR := models
 EXAMPLES_DIR := $(wildcard examples/*)
-INCLUDE_PATH := $(abspath ../../include):$(abspath ../../ggml/include)
-LIBRARY_PATH := $(abspath ../../${BUILD_DIR}/src:$(abspath ../../${BUILD_DIR}/ggml/src))
-
-ifeq ($(GGML_CUDA),1)
-	LIBRARY_PATH := $(LIBRARY_PATH):$(CUDA_PATH)/targets/$(UNAME_M)-linux/lib/
-	BUILD_FLAGS := -ldflags "-extldflags '-lcudart -lcuda -lcublas'"
-endif
-
-ifeq ($(UNAME_S),Darwin)
-	EXT_LDFLAGS := -framework Foundation -framework Metal -framework MetalKit
-endif
+INCLUDE_PATH := $(abspath ../..)
+LIBRARY_PATH := $(abspath ../..)

 all: clean whisper examples

 whisper: mkdir
-	cmake -S ../.. -B ../../${BUILD_DIR} \
-		-DCMAKE_BUILD_TYPE=Release \
-		-DBUILD_SHARED_LIBS=OFF
-	cmake --build ../../${BUILD_DIR} --target whisper
+	@echo Build whisper
+	@${MAKE} -C ../.. libwhisper.a

 test: model-small whisper modtidy
-ifeq ($(UNAME_S),Darwin)
-	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go test -ldflags "-extldflags '$(EXT_LDFLAGS)'" -v .
-	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go test -ldflags "-extldflags '$(EXT_LDFLAGS)'" -v ./pkg/whisper/...
-else
 	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go test -v .
 	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go test -v ./pkg/whisper/...
-endif

 examples: $(EXAMPLES_DIR)

@ -50,11 +21,7 @@ model-small: mkdir examples/go-model-download

 $(EXAMPLES_DIR): mkdir whisper modtidy
 	@echo Build example $(notdir $@)
-ifeq ($(UNAME_S),Darwin)
-	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} GGML_METAL_PATH_RESOURCES=${GGML_METAL_PATH_RESOURCES} go build ${BUILD_FLAGS} -ldflags "-extldflags '$(EXT_LDFLAGS)'" -o ${BUILD_DIR}/$(notdir $@) ./$@
-else
 	@C_INCLUDE_PATH=${INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} go build ${BUILD_FLAGS} -o ${BUILD_DIR}/$(notdir $@) ./$@
-endif

 mkdir:
 	@echo Mkdir ${BUILD_DIR}
@ -65,7 +32,7 @@ mkdir:
 modtidy:
 	@go mod tidy

-clean:
+clean: 
 	@echo Clean
 	@rm -fr $(BUILD_DIR)
 	@go clean
--- a/bindings/go/README.md
+++ b/bindings/go/README.md
@ -31,7 +31,7 @@ func main() {
 	if err != nil {
 		panic(err)
 	}
-	if err := context.Process(samples, nil, nil, nil); err != nil {
+	if err := context.Process(samples, nil); err != nil {
 		return err
 	}

@ -62,12 +62,6 @@ This will compile a static `libwhisper.a` in a `build` folder, download a model
 make examples
 ```

-To build using cuda support add `GGML_CUDA=1`:
-
-```bash
-GGML_CUDA=1 make examples
-```
-
 The examples are placed in the `build` directory. Once built, you can download all the models with the following command:

 ```bash
@ -77,7 +71,7 @@ The examples are placed in the `build` directory. Once built, you can download a
 And you can then test a model against samples with the following command:

 ```bash
-./build/go-whisper -model models/ggml-tiny.en.bin samples/jfk.wav
+./build/go-whisper -model models/ggml-tiny.en.bin samples/jfk.wav 
 ```

 ## Using the bindings
--- a/bindings/go/examples/go-model-download/context.go
+++ b/bindings/go/examples/go-model-download/context.go
@ -9,23 +9,22 @@ import (
 // ContextForSignal returns a context object which is cancelled when a signal
 // is received. It returns nil if no signal parameter is provided
 func ContextForSignal(signals ...os.Signal) context.Context {
-    if len(signals) == 0 {
-        return nil
-    }
+	if len(signals) == 0 {
+		return nil
+	}

-    ch := make(chan os.Signal, 1) // Buffered channel with space for 1 signal
-    ctx, cancel := context.WithCancel(context.Background())
+	ch := make(chan os.Signal)
+	ctx, cancel := context.WithCancel(context.Background())

-    // Send message on channel when signal received
-    signal.Notify(ch, signals...)
+	// Send message on channel when signal received
+	signal.Notify(ch, signals...)

-    // When any signal is received, call cancel
-    go func() {
-        <-ch
-        cancel()
-    }()
+	// When any signal received, call cancel
+	go func() {
+		<-ch
+		cancel()
+	}()

-    // Return success
-    return ctx
+	// Return success
+	return ctx
 }
-
--- a/bindings/go/examples/go-model-download/main.go
+++ b/bindings/go/examples/go-model-download/main.go
@ -9,7 +9,6 @@ import (
 	"net/url"
 	"os"
 	"path/filepath"
-	"strings"
 	"syscall"
 	"time"
 )
@ -18,27 +17,14 @@ import (
 // CONSTANTS

 const (
-	srcUrl  = "https://huggingface.co/ggerganov/whisper.cpp/resolve/main/" // The location of the models
-	srcExt  = ".bin"                                                       // Filename extension
-	bufSize = 1024 * 64                                                    // Size of the buffer used for downloading the model
+	srcUrl  = "https://huggingface.co/datasets/ggerganov/whisper.cpp/resolve/main" // The location of the models
+	srcExt  = ".bin"                                                               // Filename extension
+	bufSize = 1024 * 64                                                            // Size of the buffer used for downloading the model
 )

 var (
 	// The models which will be downloaded, if no model is specified as an argument
-	modelNames = []string{
-		"tiny", "tiny-q5_1", "tiny-q8_0",
-		"tiny.en", "tiny.en-q5_1", "tiny.en-q8_0",
-		"base", "base-q5_1", "base-q8_0",
-		"base.en", "base.en-q5_1", "base.en-q8_0",
-		"small", "small-q5_1", "small-q8_0",
-		"small.en", "small.en-q5_1", "small.en-q8_0",
-		"medium", "medium-q5_0", "medium-q8_0",
-		"medium.en", "medium.en-q5_0", "medium.en-q8_0",
-		"large-v1",
-		"large-v2", "large-v2-q5_0", "large-v2-q8_0",
-		"large-v3", "large-v3-q5_0",
-		"large-v3-turbo", "large-v3-turbo-q5_0", "large-v3-turbo-q8_0",
-	}
+	modelNames = []string{"ggml-tiny.en", "ggml-tiny", "ggml-base.en", "ggml-base", "ggml-small.en", "ggml-small", "ggml-medium.en", "ggml-medium", "ggml-large-v1", "ggml-large"}
 )

 var (
@ -58,25 +44,7 @@ var (
 func main() {
 	flag.Usage = func() {
 		name := filepath.Base(flag.CommandLine.Name())
-		fmt.Fprintf(flag.CommandLine.Output(), `
-			Usage: %s [options] [<model>...]
-
-			Options:
-  			-out string     Specify the output folder where models will be saved.
-                  			Default: Current working directory.
-  			-timeout duration Set the maximum duration for downloading a model.
-            			      Example: 10m, 1h (default: 30m0s).
-  			-quiet           Suppress all output except errors.
-
-			Examples:
-  			1. Download a specific model:
-     			%s -out ./models tiny-q8_0
-
-			  2. Download all models:
-     			%s -out ./models
-
-			`, name, name, name)
-
+		fmt.Fprintf(flag.CommandLine.Output(), "Usage: %s [options] <model>\n\n", name)
 		flag.PrintDefaults()
 	}
 	flag.Parse()
@ -146,87 +114,23 @@ func GetOut() (string, error) {
 // GetModels returns the list of models to download
 func GetModels() []string {
 	if flag.NArg() == 0 {
-		fmt.Println("No model specified.")
-		fmt.Println("Preparing to download all models...")
-
-		// Calculate total download size
-		fmt.Println("Calculating total download size...")
-		totalSize, err := CalculateTotalDownloadSize(modelNames)
-		if err != nil {
-			fmt.Println("Error calculating download sizes:", err)
-			os.Exit(1)
-		}
-
-		fmt.Println("View available models: https://huggingface.co/ggerganov/whisper.cpp/tree/main")
-		fmt.Printf("Total download size: %.2f GB\n", float64(totalSize)/(1024*1024*1024))
-		fmt.Println("Would you like to download all models? (y/N)")
-
-		// Prompt for user input
-		var response string
-		fmt.Scanln(&response)
-		if response != "y" && response != "Y" {
-			fmt.Println("Aborting. Specify a model to download.")
-			os.Exit(0)
-		}
-
-		return modelNames // Return all models if confirmed
+		return modelNames
+	} else {
+		return flag.Args()
 	}
-	return flag.Args() // Return specific models if arguments are provided
-}
-
-func CalculateTotalDownloadSize(models []string) (int64, error) {
-	var totalSize int64
-	client := http.Client{}
-
-	for _, model := range models {
-		modelURL, err := URLForModel(model)
-		if err != nil {
-			return 0, err
-		}
-
-		// Issue a HEAD request to get the file size
-		req, err := http.NewRequest("HEAD", modelURL, nil)
-		if err != nil {
-			return 0, err
-		}
-
-		resp, err := client.Do(req)
-		if err != nil {
-			return 0, err
-		}
-		resp.Body.Close()
-
-		if resp.StatusCode != http.StatusOK {
-			fmt.Printf("Warning: Unable to fetch size for %s (HTTP %d)\n", model, resp.StatusCode)
-			continue
-		}
-
-		size := resp.ContentLength
-		totalSize += size
-	}
-	return totalSize, nil
 }

 // URLForModel returns the URL for the given model on huggingface.co
 func URLForModel(model string) (string, error) {
-	// Ensure "ggml-" prefix is added only once
-	if !strings.HasPrefix(model, "ggml-") {
-		model = "ggml-" + model
-	}
-
-	// Ensure ".bin" extension is added only once
 	if filepath.Ext(model) != srcExt {
 		model += srcExt
 	}
-
-	// Parse the base URL
 	url, err := url.Parse(srcUrl)
 	if err != nil {
 		return "", err
+	} else {
+		url.Path = filepath.Join(url.Path, model)
 	}
-
-	// Ensure no trailing slash in the base URL
-	url.Path = fmt.Sprintf("%s/%s", strings.TrimSuffix(url.Path, "/"), model)
 	return url.String(), nil
 }

--- a/bindings/go/examples/go-whisper/flags.go
+++ b/bindings/go/examples/go-whisper/flags.go
@ -68,6 +68,10 @@ func (flags *Flags) GetOut() string {
 	return strings.ToLower(flags.Lookup("out").Value.String())
 }

+func (flags *Flags) IsSpeedup() bool {
+	return flags.Lookup("speedup").Value.String() == "true"
+}
+
 func (flags *Flags) IsTokens() bool {
 	return flags.Lookup("tokens").Value.String() == "true"
 }
@ -107,6 +111,10 @@ func (flags *Flags) SetParams(context whisper.Context) error {
 		fmt.Fprintf(flags.Output(), "Setting duration to %v\n", duration)
 		context.SetDuration(duration)
 	}
+	if flags.IsSpeedup() {
+		fmt.Fprintf(flags.Output(), "Setting speedup to true\n")
+		context.SetSpeedup(true)
+	}
 	if threads := flags.GetThreads(); threads != 0 {
 		fmt.Fprintf(flags.Output(), "Setting threads to %d\n", threads)
 		context.SetThreads(threads)
@ -138,6 +146,7 @@ func registerFlags(flag *Flags) {
 	flag.Duration("offset", 0, "Time offset")
 	flag.Duration("duration", 0, "Duration of audio to process")
 	flag.Uint("threads", 0, "Number of threads to use")
+	flag.Bool("speedup", false, "Enable speedup")
 	flag.Uint("max-len", 0, "Maximum segment length in characters")
 	flag.Uint("max-tokens", 0, "Maximum tokens per segment")
 	flag.Float64("word-thold", 0, "Maximum segment score")
--- a/bindings/go/examples/go-whisper/process.go
+++ b/bindings/go/examples/go-whisper/process.go
@ -67,7 +67,7 @@ func Process(model whisper.Model, path string, flags *Flags) error {
 	// Process the data
 	fmt.Fprintf(flags.Output(), "  ...processing %q\n", path)
 	context.ResetTimings()
-	if err := context.Process(data, nil, cb, nil); err != nil {
+	if err := context.Process(data, cb); err != nil {
 		return err
 	}

--- a/bindings/go/go.mod
+++ b/bindings/go/go.mod
@ -1,10 +1,10 @@
 module github.com/ggerganov/whisper.cpp/bindings/go

-go 1.23
+go 1.19

 require (
 	github.com/go-audio/wav v1.1.0
-	github.com/stretchr/testify v1.9.0
+	github.com/stretchr/testify v1.8.1
 )

 require (
--- a/bindings/go/go.sum
+++ b/bindings/go/go.sum
@ -1,3 +1,4 @@
+github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
 github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
 github.com/go-audio/audio v1.0.0 h1:zS9vebldgbQqktK4H0lUqWrG8P0NxCJVqcj7ZpNnwd4=
@ -8,9 +9,15 @@ github.com/go-audio/wav v1.1.0 h1:jQgLtbqBzY7G+BM8fXF7AHUk1uHUviWS4X39d5rsL2g=
 github.com/go-audio/wav v1.1.0/go.mod h1:mpe9qfwbScEbkd8uybLuIpTgHyrISw/OTuvjUW2iGtE=
 github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
 github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
-github.com/stretchr/testify v1.9.0 h1:HtqpIVDClZ4nwg75+f6Lvsy/wHu+3BoSGCbBAcpTsTg=
-github.com/stretchr/testify v1.9.0/go.mod h1:r2ic/lqez/lEtzL7wO/rwa5dbSLXVDPFyf8C91i36aY=
+github.com/stretchr/objx v0.1.0/go.mod h1:HFkY916IF+rwdDfMAkV7OtwuqBVzrE8GR6GFx+wExME=
+github.com/stretchr/objx v0.4.0/go.mod h1:YvHI0jy2hoMjB+UWwv71VJQ9isScKT/TqJzVSSt89Yw=
+github.com/stretchr/objx v0.5.0/go.mod h1:Yh+to48EsGEfYuaHDzXPcE3xhTkx73EhmCGUpEOglKo=
+github.com/stretchr/testify v1.7.1/go.mod h1:6Fq8oRcR53rry900zMqJjRRixrwX3KX962/h/Wwjteg=
+github.com/stretchr/testify v1.8.0/go.mod h1:yNjHg4UonilssWZ8iaSj1OCr/vHnekPRkoO+kdMU+MU=
+github.com/stretchr/testify v1.8.1 h1:w7B6lhMri9wdJUVmEZPGGhZzrYTPvgJArz7wNPgYKsk=
+github.com/stretchr/testify v1.8.1/go.mod h1:w2LPCIKwWwSfY2zedu0+kehJoqGctiVI29o6fzry7u4=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405 h1:yhCVgyC4o1eVCa2tZl7eS0r+SDo693bJlVdllGtEeKM=
 gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
+gopkg.in/yaml.v3 v3.0.0-20200313102051-9f266ea9e77c/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
 gopkg.in/yaml.v3 v3.0.1 h1:fxVm/GzAzEWqLHuvctI91KS9hhNmmWOoWu0XTYJS7CA=
 gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
--- a/bindings/go/params.go
+++ b/bindings/go/params.go
@ -19,10 +19,6 @@ func (p *Params) SetTranslate(v bool) {
 	p.translate = toBool(v)
 }

-func (p *Params) SetSplitOnWord(v bool) {
-	p.split_on_word = toBool(v)
-}
-
 func (p *Params) SetNoContext(v bool) {
 	p.no_context = toBool(v)
 }
@ -47,6 +43,10 @@ func (p *Params) SetPrintTimestamps(v bool) {
 	p.print_timestamps = toBool(v)
 }

+func (p *Params) SetSpeedup(v bool) {
+	p.speed_up = toBool(v)
+}
+
 // Set language id
 func (p *Params) SetLanguage(lang int) error {
 	if lang == -1 {
@ -105,47 +105,11 @@ func (p *Params) SetMaxSegmentLength(n int) {
 	p.max_len = C.int(n)
 }

-func (p *Params) SetTokenTimestamps(b bool) {
-	p.token_timestamps = toBool(b)
-}
-
 // Set max tokens per segment (0 = no limit)
 func (p *Params) SetMaxTokensPerSegment(n int) {
 	p.max_tokens = C.int(n)
 }

-// Set audio encoder context
-func (p *Params) SetAudioCtx(n int) {
-	p.audio_ctx = C.int(n)
-}
-
-func (p *Params) SetMaxContext(n int) {
-	p.n_max_text_ctx = C.int(n)
-}
-
-func (p *Params) SetBeamSize(n int) {
-	p.beam_search.beam_size = C.int(n)
-}
-
-func (p *Params) SetEntropyThold(t float32) {
-	p.entropy_thold = C.float(t)
-}
-
-func (p *Params) SetTemperature(t float32) {
-	p.temperature = C.float(t)
-}
-
-// Sets the fallback temperature incrementation
-// Pass -1.0 to disable this feature
-func (p *Params) SetTemperatureFallback(t float32) {
-	p.temperature_inc = C.float(t)
-}
-
-// Set initial prompt
-func (p *Params) SetInitialPrompt(prompt string) {
-	p.initial_prompt = C.CString(prompt)
-}
-
 ///////////////////////////////////////////////////////////////////////////////
 // PRIVATE METHODS

@ -169,12 +133,6 @@ func (p *Params) String() string {
 	str += fmt.Sprintf(" n_max_text_ctx=%d", p.n_max_text_ctx)
 	str += fmt.Sprintf(" offset_ms=%d", p.offset_ms)
 	str += fmt.Sprintf(" duration_ms=%d", p.duration_ms)
-	str += fmt.Sprintf(" audio_ctx=%d", p.audio_ctx)
-	str += fmt.Sprintf(" initial_prompt=%s", C.GoString(p.initial_prompt))
-	str += fmt.Sprintf(" entropy_thold=%f", p.entropy_thold)
-	str += fmt.Sprintf(" temperature=%f", p.temperature)
-	str += fmt.Sprintf(" temperature_inc=%f", p.temperature_inc)
-	str += fmt.Sprintf(" beam_size=%d", p.beam_search.beam_size)
 	if p.translate {
 		str += " translate"
 	}
@ -199,6 +157,9 @@ func (p *Params) String() string {
 	if p.token_timestamps {
 		str += " token_timestamps"
 	}
+	if p.speed_up {
+		str += " speed_up"
+	}

 	return str + ">"
 }
--- a/bindings/go/pkg/whisper/context.go
+++ b/bindings/go/pkg/whisper/context.go
@ -71,17 +71,14 @@ func (context *context) Language() string {
 	return whisper.Whisper_lang_str(context.params.Language())
 }

-func (context *context) DetectedLanguage() string {
-	return whisper.Whisper_lang_str(context.model.ctx.Whisper_full_lang_id())
-}
-
 // Set translate flag
 func (context *context) SetTranslate(v bool) {
 	context.params.SetTranslate(v)
 }

-func (context *context) SetSplitOnWord(v bool) {
-	context.params.SetSplitOnWord(v)
+// Set speedup flag
+func (context *context) SetSpeedup(v bool) {
+	context.params.SetSpeedup(v)
 }

 // Set number of threads to use
@ -96,7 +93,7 @@ func (context *context) SetOffset(v time.Duration) {

 // Set duration of audio to process
 func (context *context) SetDuration(v time.Duration) {
-	context.params.SetDuration(int(v.Milliseconds()))
+	context.params.SetOffset(int(v.Milliseconds()))
 }

 // Set timestamp token probability threshold (~0.01)
@ -114,52 +111,11 @@ func (context *context) SetMaxSegmentLength(n uint) {
 	context.params.SetMaxSegmentLength(int(n))
 }

-// Set token timestamps flag
-func (context *context) SetTokenTimestamps(b bool) {
-	context.params.SetTokenTimestamps(b)
-}
-
 // Set max tokens per segment (0 = no limit)
 func (context *context) SetMaxTokensPerSegment(n uint) {
 	context.params.SetMaxTokensPerSegment(int(n))
 }

-// Set audio encoder context
-func (context *context) SetAudioCtx(n uint) {
-	context.params.SetAudioCtx(int(n))
-}
-
-// Set maximum number of text context tokens to store
-func (context *context) SetMaxContext(n int) {
-	context.params.SetMaxContext(n)
-}
-
-// Set Beam Size
-func (context *context) SetBeamSize(n int) {
-	context.params.SetBeamSize(n)
-}
-
-// Set Entropy threshold
-func (context *context) SetEntropyThold(t float32) {
-	context.params.SetEntropyThold(t)
-}
-
-// Set Temperature
-func (context *context) SetTemperature(t float32) {
-	context.params.SetTemperature(t)
-}
-
-// Set the fallback temperature incrementation
-// Pass -1.0 to disable this feature
-func (context *context) SetTemperatureFallback(t float32) {
-	context.params.SetTemperatureFallback(t)
-}
-
-// Set initial prompt
-func (context *context) SetInitialPrompt(prompt string) {
-	context.params.SetInitialPrompt(prompt)
-}
-
 // ResetTimings resets the mode timings. Should be called before processing
 func (context *context) ResetTimings() {
 	context.model.ctx.Whisper_reset_timings()
@ -191,49 +147,38 @@ func (context *context) WhisperLangAutoDetect(offset_ms int, n_threads int) ([]f
 }

 // Process new sample data and return any errors
-func (context *context) Process(
-	data []float32,
-	callEncoderBegin EncoderBeginCallback,
-	callNewSegment SegmentCallback,
-	callProgress ProgressCallback,
-) error {
+func (context *context) Process(data []float32, cb SegmentCallback) error {
 	if context.model.ctx == nil {
 		return ErrInternalAppError
 	}
 	// If the callback is defined then we force on single_segment mode
-	if callNewSegment != nil {
+	if cb != nil {
 		context.params.SetSingleSegment(true)
 	}

 	// We don't do parallel processing at the moment
 	processors := 0
 	if processors > 1 {
-		if err := context.model.ctx.Whisper_full_parallel(context.params, data, processors, callEncoderBegin,
-			func(new int) {
-				if callNewSegment != nil {
-					num_segments := context.model.ctx.Whisper_full_n_segments()
-					s0 := num_segments - new
-					for i := s0; i < num_segments; i++ {
-						callNewSegment(toSegment(context.model.ctx, i))
-					}
-				}
-			}); err != nil {
-			return err
-		}
-	} else if err := context.model.ctx.Whisper_full(context.params, data, callEncoderBegin,
-		func(new int) {
-			if callNewSegment != nil {
+		if err := context.model.ctx.Whisper_full_parallel(context.params, data, processors, nil, func(new int) {
+			if cb != nil {
 				num_segments := context.model.ctx.Whisper_full_n_segments()
 				s0 := num_segments - new
 				for i := s0; i < num_segments; i++ {
-					callNewSegment(toSegment(context.model.ctx, i))
+					cb(toSegment(context.model.ctx, i))
 				}
 			}
-		}, func(progress int) {
-			if callProgress != nil {
-				callProgress(progress)
-			}
 		}); err != nil {
+			return err
+		}
+	} else if err := context.model.ctx.Whisper_full(context.params, data, nil, func(new int) {
+		if cb != nil {
+			num_segments := context.model.ctx.Whisper_full_n_segments()
+			s0 := num_segments - new
+			for i := s0; i < num_segments; i++ {
+				cb(toSegment(context.model.ctx, i))
+			}
+		}
+	}); err != nil {
 		return err
 	}

@ -335,14 +280,10 @@ func toSegment(ctx *whisper.Context, n int) Segment {
 func toTokens(ctx *whisper.Context, n int) []Token {
 	result := make([]Token, ctx.Whisper_full_n_tokens(n))
 	for i := 0; i < len(result); i++ {
-		data := ctx.Whisper_full_get_token_data(n, i)
-
 		result[i] = Token{
-			Id:    int(ctx.Whisper_full_get_token_id(n, i)),
-			Text:  ctx.Whisper_full_get_token_text(n, i),
-			P:     ctx.Whisper_full_get_token_p(n, i),
-			Start: time.Duration(data.T0()) * time.Millisecond * 10,
-			End:   time.Duration(data.T1()) * time.Millisecond * 10,
+			Id:   int(ctx.Whisper_full_get_token_id(n, i)),
+			Text: strings.TrimSpace(ctx.Whisper_full_get_token_text(n, i)),
+			P:    ctx.Whisper_full_get_token_p(n, i),
 		}
 	}
 	return result
--- a/bindings/go/pkg/whisper/context_test.go
+++ b/bindings/go/pkg/whisper/context_test.go
@ -4,121 +4,52 @@ import (
 	"os"
 	"testing"

-	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
-	"github.com/go-audio/wav"
+	// Packages
+	whisper "github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
 	assert "github.com/stretchr/testify/assert"
 )

-func TestSetLanguage(t *testing.T) {
-	assert := assert.New(t)
+const (
+	ModelPath  = "../../models/ggml-tiny.bin"
+	SamplePath = "../../samples/jfk.wav"
+)

+func Test_Whisper_000(t *testing.T) {
+	assert := assert.New(t)
+	if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
+		t.Skip("Skipping test, model not found:", ModelPath)
+	}
+	if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
+		t.Skip("Skipping test, sample not found:", SamplePath)
+	}
+
+	// Load model
+	model, err := whisper.New(ModelPath)
+	assert.NoError(err)
+	assert.NotNil(model)
+	assert.NoError(model.Close())
+
+	t.Log("languages=", model.Languages())
+}
+
+func Test_Whisper_001(t *testing.T) {
+	assert := assert.New(t)
+	if _, err := os.Stat(ModelPath); os.IsNotExist(err) {
+		t.Skip("Skipping test, model not found:", ModelPath)
+	}
+	if _, err := os.Stat(SamplePath); os.IsNotExist(err) {
+		t.Skip("Skipping test, sample not found:", SamplePath)
+	}
+
+	// Load model
 	model, err := whisper.New(ModelPath)
 	assert.NoError(err)
 	assert.NotNil(model)
 	defer model.Close()

-	context, err := model.NewContext()
+	// Get context for decoding
+	ctx, err := model.NewContext()
 	assert.NoError(err)
+	assert.NotNil(ctx)

-	// This returns an error since
-	// the model 'models/ggml-small.en.bin'
-	// that is loaded is not multilingual
-	err = context.SetLanguage("en")
-	assert.Error(err)
-}
-
-func TestContextModelIsMultilingual(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	context, err := model.NewContext()
-	assert.NoError(err)
-
-	isMultilingual := context.IsMultilingual()
-
-	// This returns false since
-	// the model 'models/ggml-small.en.bin'
-	// that is loaded is not multilingual
-	assert.False(isMultilingual)
-}
-
-func TestLanguage(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	context, err := model.NewContext()
-	assert.NoError(err)
-
-	// This always returns en since
-	// the model 'models/ggml-small.en.bin'
-	// that is loaded is not multilingual
-	expectedLanguage := "en"
-	actualLanguage := context.Language()
-	assert.Equal(expectedLanguage, actualLanguage)
-}
-
-func TestProcess(t *testing.T) {
-	assert := assert.New(t)
-
-	fh, err := os.Open(SamplePath)
-	assert.NoError(err)
-	defer fh.Close()
-
-	// Decode the WAV file - load the full buffer
-	dec := wav.NewDecoder(fh)
-	buf, err := dec.FullPCMBuffer()
-	assert.NoError(err)
-	assert.Equal(uint16(1), dec.NumChans)
-
-	data := buf.AsFloat32Buffer().Data
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	context, err := model.NewContext()
-	assert.NoError(err)
-
-	err = context.Process(data, nil, nil, nil)
-	assert.NoError(err)
-}
-
-func TestDetectedLanguage(t *testing.T) {
-	assert := assert.New(t)
-
-	fh, err := os.Open(SamplePath)
-	assert.NoError(err)
-	defer fh.Close()
-
-	// Decode the WAV file - load the full buffer
-	dec := wav.NewDecoder(fh)
-	buf, err := dec.FullPCMBuffer()
-	assert.NoError(err)
-	assert.Equal(uint16(1), dec.NumChans)
-
-	data := buf.AsFloat32Buffer().Data
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	context, err := model.NewContext()
-	assert.NoError(err)
-
-	err = context.Process(data, nil, nil, nil)
-	assert.NoError(err)
-
-	expectedLanguage := "en"
-	actualLanguage := context.DetectedLanguage()
-	assert.Equal(expectedLanguage, actualLanguage)
 }
--- a/bindings/go/pkg/whisper/interface.go
+++ b/bindings/go/pkg/whisper/interface.go
@ -12,14 +12,6 @@ import (
 // time. It is called during the Process function
 type SegmentCallback func(Segment)

-// ProgressCallback is the callback function for reporting progress during
-// processing. It is called during the Process function
-type ProgressCallback func(int)
-
-// EncoderBeginCallback is the callback function for checking if we want to
-// continue processing. It is called during the Process function
-type EncoderBeginCallback func() bool
-
 // Model is the interface to a whisper model. Create a new model with the
 // function whisper.New(string)
 type Model interface {
@ -35,35 +27,26 @@ type Model interface {
 	Languages() []string
 }

-// Context is the speech recognition context.
+// Context is the speach recognition context.
 type Context interface {
 	SetLanguage(string) error // Set the language to use for speech recognition, use "auto" for auto detect language.
 	SetTranslate(bool)        // Set translate flag
 	IsMultilingual() bool     // Return true if the model is multilingual.
 	Language() string         // Get language
-	DetectedLanguage() string // Get detected language

-	SetOffset(time.Duration)          // Set offset
-	SetDuration(time.Duration)        // Set duration
-	SetThreads(uint)                  // Set number of threads to use
-	SetSplitOnWord(bool)              // Set split on word flag
-	SetTokenThreshold(float32)        // Set timestamp token probability threshold
-	SetTokenSumThreshold(float32)     // Set timestamp token sum probability threshold
-	SetMaxSegmentLength(uint)         // Set max segment length in characters
-	SetTokenTimestamps(bool)          // Set token timestamps flag
-	SetMaxTokensPerSegment(uint)      // Set max tokens per segment (0 = no limit)
-	SetAudioCtx(uint)                 // Set audio encoder context
-	SetMaxContext(n int)              // Set maximum number of text context tokens to store
-	SetBeamSize(n int)                // Set Beam Size
-	SetEntropyThold(t float32)        // Set Entropy threshold
-	SetInitialPrompt(prompt string)   // Set initial prompt
-	SetTemperature(t float32)         // Set temperature
-	SetTemperatureFallback(t float32) // Set temperature incrementation
+	SetOffset(time.Duration)      // Set offset
+	SetDuration(time.Duration)    // Set duration
+	SetThreads(uint)              // Set number of threads to use
+	SetSpeedup(bool)              // Set speedup flag
+	SetTokenThreshold(float32)    // Set timestamp token probability threshold
+	SetTokenSumThreshold(float32) // Set timestamp token sum probability threshold
+	SetMaxSegmentLength(uint)     // Set max segment length in characters
+	SetMaxTokensPerSegment(uint)  // Set max tokens per segment (0 = no limit)

 	// Process mono audio data and return any errors.
 	// If defined, newly generated segments are passed to the
 	// callback function during processing.
-	Process([]float32, EncoderBeginCallback, SegmentCallback, ProgressCallback) error
+	Process([]float32, SegmentCallback) error

 	// After process is called, return segments until the end of the stream
 	// is reached, when io.EOF is returned.
@ -102,8 +85,7 @@ type Segment struct {

 // Token is a text or special token
 type Token struct {
-	Id         int
-	Text       string
-	P          float32
-	Start, End time.Duration
+	Id   int
+	Text string
+	P    float32
 }
--- a/bindings/go/pkg/whisper/model.go
+++ b/bindings/go/pkg/whisper/model.go
@ -94,7 +94,6 @@ func (model *model) NewContext() (Context, error) {
 	params.SetPrintRealtime(false)
 	params.SetPrintTimestamps(false)
 	params.SetThreads(runtime.NumCPU())
-	params.SetNoContext(true)

 	// Return new context
 	return newContext(model, params)
--- a/bindings/go/pkg/whisper/model_test.go
+++ b/bindings/go/pkg/whisper/model_test.go
@ -1,91 +0,0 @@
-package whisper_test
-
-import (
-	"testing"
-
-	"github.com/ggerganov/whisper.cpp/bindings/go/pkg/whisper"
-	assert "github.com/stretchr/testify/assert"
-)
-
-func TestNew(t *testing.T) {
-	assert := assert.New(t)
-	t.Run("valid model path", func(t *testing.T) {
-		model, err := whisper.New(ModelPath)
-		assert.NoError(err)
-		assert.NotNil(model)
-		defer model.Close()
-
-	})
-
-	t.Run("invalid model path", func(t *testing.T) {
-		invalidModelPath := "invalid-model-path.bin"
-		model, err := whisper.New(invalidModelPath)
-		assert.Error(err)
-		assert.Nil(model)
-	})
-}
-
-func TestClose(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-
-	err = model.Close()
-	assert.NoError(err)
-}
-
-func TestNewContext(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	context, err := model.NewContext()
-	assert.NoError(err)
-	assert.NotNil(context)
-}
-
-func TestIsMultilingual(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	isMultilingual := model.IsMultilingual()
-
-	// This returns false since
-	// the model 'models/ggml-small.en.bin'
-	// that is loaded is not multilingual
-	assert.False(isMultilingual)
-}
-
-func TestLanguages(t *testing.T) {
-	assert := assert.New(t)
-
-	model, err := whisper.New(ModelPath)
-	assert.NoError(err)
-	assert.NotNil(model)
-	defer model.Close()
-
-	expectedLanguages := []string{
-		"en", "zh", "de", "es", "ru", "ko", "fr", "ja", "pt", "tr", "pl",
-		"ca", "nl", "ar", "sv", "it", "id", "hi", "fi", "vi", "he", "uk",
-		"el", "ms", "cs", "ro", "da", "hu", "ta", "no", "th", "ur", "hr",
-		"bg", "lt", "la", "mi", "ml", "cy", "sk", "te", "fa", "lv", "bn",
-		"sr", "az", "sl", "kn", "et", "mk", "br", "eu", "is", "hy", "ne",
-		"mn", "bs", "kk", "sq", "sw", "gl", "mr", "pa", "si", "km", "sn",
-		"yo", "so", "af", "oc", "ka", "be", "tg", "sd", "gu", "am", "yi",
-		"lo", "uz", "fo", "ht", "ps", "tk", "nn", "mt", "sa", "lb", "my",
-		"bo", "tl", "mg", "as", "tt", "haw", "ln", "ha", "ba", "jw", "su",
-	}
-
-	actualLanguages := model.Languages()
-
-	assert.Equal(expectedLanguages, actualLanguages)
-}
--- a/bindings/go/pkg/whisper/util_test.go
+++ b/bindings/go/pkg/whisper/util_test.go
@ -1,6 +0,0 @@
-package whisper_test
-
-const (
-	ModelPath  = "../../models/ggml-small.en.bin"
-	SamplePath = "../../samples/jfk.wav"
-)
--- a/bindings/go/whisper.go
+++ b/bindings/go/whisper.go
@ -9,37 +9,27 @@ import (
 // CGO

 /*
-#cgo LDFLAGS: -lwhisper -lggml -lggml-base -lggml-cpu  -lm -lstdc++ -fopenmp
-#cgo darwin LDFLAGS: -framework Accelerate -framework Metal -framework Foundation -framework CoreGraphics
+#cgo LDFLAGS: -lwhisper -lm -lstdc++
+#cgo darwin LDFLAGS: -framework Accelerate
 #include <whisper.h>
 #include <stdlib.h>

 extern void callNewSegment(void* user_data, int new);
-extern void callProgress(void* user_data, int progress);
 extern bool callEncoderBegin(void* user_data);

 // Text segment callback
 // Called on every newly generated text segment
 // Use the whisper_full_...() functions to obtain the text segments
-static void whisper_new_segment_cb(struct whisper_context* ctx, struct whisper_state* state, int n_new, void* user_data) {
+static void whisper_new_segment_cb(struct whisper_context* ctx, int n_new, void* user_data) {
    if(user_data != NULL && ctx != NULL) {
        callNewSegment(user_data, n_new);
    }
 }

-// Progress callback
-// Called on every newly generated text segment
-// Use the whisper_full_...() functions to obtain the text segments
-static void whisper_progress_cb(struct whisper_context* ctx, struct whisper_state* state, int progress, void* user_data) {
-    if(user_data != NULL && ctx != NULL) {
-        callProgress(user_data, progress);
-    }
-}
-
 // Encoder begin callback
 // If not NULL, called before the encoder starts
 // If it returns false, the computation is aborted
-static bool whisper_encoder_begin_cb(struct whisper_context* ctx, struct whisper_state* state, void* user_data) {
+static bool whisper_encoder_begin_cb(struct whisper_context* ctx, void* user_data) {
    if(user_data != NULL && ctx != NULL) {
        return callEncoderBegin(user_data);
    }
@ -53,8 +43,6 @@ static struct whisper_full_params whisper_full_default_params_cb(struct whisper_
 	params.new_segment_callback_user_data = (void*)(ctx);
 	params.encoder_begin_callback = whisper_encoder_begin_cb;
 	params.encoder_begin_callback_user_data = (void*)(ctx);
-	params.progress_callback = whisper_progress_cb;
-	params.progress_callback_user_data = (void*)(ctx);
 	return params;
 }
 */
@ -83,6 +71,7 @@ const (
 	SampleRate = C.WHISPER_SAMPLE_RATE                 // Expected sample rate, samples per second
 	SampleBits = uint16(unsafe.Sizeof(C.float(0))) * 8 // Sample size in bits
 	NumFFT     = C.WHISPER_N_FFT
+	NumMEL     = C.WHISPER_N_MEL
 	HopLength  = C.WHISPER_HOP_LENGTH
 	ChunkSize  = C.WHISPER_CHUNK_SIZE
 )
@ -102,7 +91,7 @@ var (
 func Whisper_init(path string) *Context {
 	cPath := C.CString(path)
 	defer C.free(unsafe.Pointer(cPath))
-	if ctx := C.whisper_init_from_file_with_params(cPath, C.whisper_context_default_params()); ctx != nil {
+	if ctx := C.whisper_init_from_file(cPath); ctx != nil {
 		return (*Context)(ctx)
 	} else {
 		return nil
@ -269,13 +258,13 @@ func (ctx *Context) Whisper_token_lang(lang_id int) Token {
 }

 // Task tokens
-func (ctx *Context) Whisper_token_translate() Token {
-	return Token(C.whisper_token_translate((*C.struct_whisper_context)(ctx)))
+func Whisper_token_translate() Token {
+	return Token(C.whisper_token_translate())
 }

 // Task tokens
-func (ctx *Context) Whisper_token_transcribe() Token {
-	return Token(C.whisper_token_transcribe((*C.struct_whisper_context)(ctx)))
+func Whisper_token_transcribe() Token {
+	return Token(C.whisper_token_transcribe())
 }

 // Performance information
@ -301,19 +290,11 @@ func (ctx *Context) Whisper_full_default_params(strategy SamplingStrategy) Param

 // Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
 // Uses the specified decoding strategy to obtain the text.
-func (ctx *Context) Whisper_full(
-	params Params,
-	samples []float32,
-	encoderBeginCallback func() bool,
-	newSegmentCallback func(int),
-	progressCallback func(int),
-) error {
+func (ctx *Context) Whisper_full(params Params, samples []float32, encoderBeginCallback func() bool, newSegmentCallback func(int)) error {
 	registerEncoderBeginCallback(ctx, encoderBeginCallback)
 	registerNewSegmentCallback(ctx, newSegmentCallback)
-	registerProgressCallback(ctx, progressCallback)
 	defer registerEncoderBeginCallback(ctx, nil)
 	defer registerNewSegmentCallback(ctx, nil)
-	defer registerProgressCallback(ctx, nil)
 	if C.whisper_full((*C.struct_whisper_context)(ctx), (C.struct_whisper_full_params)(params), (*C.float)(&samples[0]), C.int(len(samples))) == 0 {
 		return nil
 	} else {
@ -337,18 +318,6 @@ func (ctx *Context) Whisper_full_parallel(params Params, samples []float32, proc
 	}
 }

-// Return the id of the autodetected language, returns -1 if not found
-// Added to whisper.cpp in
-// https://github.com/ggerganov/whisper.cpp/commit/a1c1583cc7cd8b75222857afc936f0638c5683d6
-//
-// Examples:
-//
-//	"de" -> 2
-//	"german" -> 2
-func (ctx *Context) Whisper_full_lang_id() int {
-	return int(C.whisper_full_lang_id((*C.struct_whisper_context)(ctx)))
-}
-
 // Number of generated text segments.
 // A segment can be a few words, a sentence, or even a paragraph.
 func (ctx *Context) Whisper_full_n_segments() int {
@ -387,7 +356,7 @@ func (ctx *Context) Whisper_full_get_token_id(segment int, token int) Token {

 // Get token data for the specified token in the specified segment.
 // This contains probabilities, timestamps, etc.
-func (ctx *Context) Whisper_full_get_token_data(segment int, token int) TokenData {
+func (ctx *Context) whisper_full_get_token_data(segment int, token int) TokenData {
 	return TokenData(C.whisper_full_get_token_data((*C.struct_whisper_context)(ctx), C.int(segment), C.int(token)))
 }

@ -401,7 +370,6 @@ func (ctx *Context) Whisper_full_get_token_p(segment int, token int) float32 {

 var (
 	cbNewSegment   = make(map[unsafe.Pointer]func(int))
-	cbProgress     = make(map[unsafe.Pointer]func(int))
 	cbEncoderBegin = make(map[unsafe.Pointer]func() bool)
 )

@ -413,14 +381,6 @@ func registerNewSegmentCallback(ctx *Context, fn func(int)) {
 	}
 }

-func registerProgressCallback(ctx *Context, fn func(int)) {
-	if fn == nil {
-		delete(cbProgress, unsafe.Pointer(ctx))
-	} else {
-		cbProgress[unsafe.Pointer(ctx)] = fn
-	}
-}
-
 func registerEncoderBeginCallback(ctx *Context, fn func() bool) {
 	if fn == nil {
 		delete(cbEncoderBegin, unsafe.Pointer(ctx))
@ -436,13 +396,6 @@ func callNewSegment(user_data unsafe.Pointer, new C.int) {
 	}
 }

-//export callProgress
-func callProgress(user_data unsafe.Pointer, progress C.int) {
-	if fn, ok := cbProgress[user_data]; ok {
-		fn(int(progress))
-	}
-}
-
 //export callEncoderBegin
 func callEncoderBegin(user_data unsafe.Pointer) C.bool {
 	if fn, ok := cbEncoderBegin[user_data]; ok {
@ -454,15 +407,3 @@ func callEncoderBegin(user_data unsafe.Pointer) C.bool {
 	}
 	return true
 }
-
-func (t TokenData) T0() int64 {
-	return int64(t.t0)
-}
-
-func (t TokenData) T1() int64 {
-	return int64(t.t1)
-}
-
-func (t TokenData) Id() Token {
-	return Token(t.id)
-}
--- a/bindings/go/whisper_test.go
+++ b/bindings/go/whisper_test.go
@ -52,7 +52,7 @@ func Test_Whisper_001(t *testing.T) {
 	defer ctx.Whisper_free()
 	params := ctx.Whisper_full_default_params(whisper.SAMPLING_GREEDY)
 	data := buf.AsFloat32Buffer().Data
-	err = ctx.Whisper_full(params, data, nil, nil, nil)
+	err = ctx.Whisper_full(params, data, nil, nil)
 	assert.NoError(err)

 	// Print out tokens
--- a/bindings/ios
+++ b/bindings/ios
--- a/bindings/java/.idea/uiDesigner.xml
+++ b/bindings/java/.idea/uiDesigner.xml
@ -1,124 +0,0 @@
-<?xml version="1.0" encoding="UTF-8"?>
-<project version="4">
-  <component name="Palette2">
-    <group name="Swing">
-      <item class="com.intellij.uiDesigner.HSpacer" tooltip-text="Horizontal Spacer" icon="/com/intellij/uiDesigner/icons/hspacer.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="1" hsize-policy="6" anchor="0" fill="1" />
-      </item>
-      <item class="com.intellij.uiDesigner.VSpacer" tooltip-text="Vertical Spacer" icon="/com/intellij/uiDesigner/icons/vspacer.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="1" anchor="0" fill="2" />
-      </item>
-      <item class="javax.swing.JPanel" icon="/com/intellij/uiDesigner/icons/panel.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JScrollPane" icon="/com/intellij/uiDesigner/icons/scrollPane.svg" removable="false" auto-create-binding="false" can-attach-label="true">
-        <default-constraints vsize-policy="7" hsize-policy="7" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JButton" icon="/com/intellij/uiDesigner/icons/button.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="0" fill="1" />
-        <initial-values>
-          <property name="text" value="Button" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JRadioButton" icon="/com/intellij/uiDesigner/icons/radioButton.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="RadioButton" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JCheckBox" icon="/com/intellij/uiDesigner/icons/checkBox.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="3" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="CheckBox" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JLabel" icon="/com/intellij/uiDesigner/icons/label.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="0" anchor="8" fill="0" />
-        <initial-values>
-          <property name="text" value="Label" />
-        </initial-values>
-      </item>
-      <item class="javax.swing.JTextField" icon="/com/intellij/uiDesigner/icons/textField.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JPasswordField" icon="/com/intellij/uiDesigner/icons/passwordField.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JFormattedTextField" icon="/com/intellij/uiDesigner/icons/formattedTextField.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1">
-          <preferred-size width="150" height="-1" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTextArea" icon="/com/intellij/uiDesigner/icons/textArea.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTextPane" icon="/com/intellij/uiDesigner/icons/textPane.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JEditorPane" icon="/com/intellij/uiDesigner/icons/editorPane.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JComboBox" icon="/com/intellij/uiDesigner/icons/comboBox.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="2" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JTable" icon="/com/intellij/uiDesigner/icons/table.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JList" icon="/com/intellij/uiDesigner/icons/list.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="2" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JTree" icon="/com/intellij/uiDesigner/icons/tree.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3">
-          <preferred-size width="150" height="50" />
-        </default-constraints>
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-      <item class="javax.swing.JTabbedPane" icon="/com/intellij/uiDesigner/icons/tabbedPane.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3">
-          <preferred-size width="200" height="200" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JSplitPane" icon="/com/intellij/uiDesigner/icons/splitPane.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="3" hsize-policy="3" anchor="0" fill="3">
-          <preferred-size width="200" height="200" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JSpinner" icon="/com/intellij/uiDesigner/icons/spinner.svg" removable="false" auto-create-binding="true" can-attach-label="true">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JSlider" icon="/com/intellij/uiDesigner/icons/slider.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="8" fill="1" />
-      </item>
-      <item class="javax.swing.JSeparator" icon="/com/intellij/uiDesigner/icons/separator.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="6" anchor="0" fill="3" />
-      </item>
-      <item class="javax.swing.JProgressBar" icon="/com/intellij/uiDesigner/icons/progressbar.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="0" fill="1" />
-      </item>
-      <item class="javax.swing.JToolBar" icon="/com/intellij/uiDesigner/icons/toolbar.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="6" anchor="0" fill="1">
-          <preferred-size width="-1" height="20" />
-        </default-constraints>
-      </item>
-      <item class="javax.swing.JToolBar$Separator" icon="/com/intellij/uiDesigner/icons/toolbarSeparator.svg" removable="false" auto-create-binding="false" can-attach-label="false">
-        <default-constraints vsize-policy="0" hsize-policy="0" anchor="0" fill="1" />
-      </item>
-      <item class="javax.swing.JScrollBar" icon="/com/intellij/uiDesigner/icons/scrollbar.svg" removable="false" auto-create-binding="true" can-attach-label="false">
-        <default-constraints vsize-policy="6" hsize-policy="0" anchor="0" fill="2" />
-      </item>
-    </group>
-  </component>
-</project>
--- a/bindings/java/README.md
+++ b/bindings/java/README.md
@ -1,71 +0,0 @@
-# Java JNI bindings for Whisper
-
-This package provides Java JNI bindings for whisper.cpp. They have been tested on:
-
-  * <strike>Darwin (OS X) 12.6 on x64_64</strike>
-  * Ubuntu on x86_64
-  * Windows on x86_64
-
-The "low level" bindings are in `WhisperCppJnaLibrary`. The most simple usage is as follows:
-
-JNA will attempt to load the `whispercpp` shared library from:
-
- jna.library.path
- jna.platform.library
- ~/Library/Frameworks
- /Library/Frameworks
- /System/Library/Frameworks
- classpath
-
-```java
-import io.github.ggerganov.whispercpp.WhisperCpp;
-
-public class Example {
-
-    public static void main(String[] args) {
-        WhisperCpp whisper = new WhisperCpp();
-        // By default, models are loaded from ~/.cache/whisper/ and are usually named "ggml-${name}.bin"
-        // or you can provide the absolute path to the model file.
-        long context = whisper.initContext("base.en");
-        try {
-            var whisperParams = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
-            // custom configuration if required
-            whisperParams.temperature_inc = 0f;
-            
-            var samples = readAudio(); // divide each value by 32767.0f
-            whisper.fullTranscribe(whisperParams, samples);
-            
-            int segmentCount = whisper.getTextSegmentCount(context);
-            for (int i = 0; i < segmentCount; i++) {
-                String text = whisper.getTextSegment(context, i);
-                System.out.println(segment.getText());
-            }
-        } finally {
-             whisper.freeContext(context);
-        }
-     }
-}
-```
-
-## Building & Testing
-
-In order to build, you need to have the JDK 8 or higher installed. Run the tests with:
-
-```bash
-git clone https://github.com/ggerganov/whisper.cpp.git
-cd whisper.cpp/bindings/java
-
-./gradlew build
-```
-
-You need to have the `whisper` library in your [JNA library path](https://java-native-access.github.io/jna/4.2.1/com/sun/jna/NativeLibrary.html). On Windows the dll is included in the jar and you can update it:
-
-```bash
-copy /y ..\..\build\bin\Release\whisper.dll build\generated\resources\main\win32-x86-64\whisper.dll
-```
-
-
-## License
-
-The license for the Java bindings is the same as the license for the rest of the whisper.cpp project, which is the MIT License. See the `LICENSE` file for more details.
-
--- a/bindings/java/build.gradle
+++ b/bindings/java/build.gradle
@ -1,141 +0,0 @@
-plugins {
-    id 'java'
-    id 'java-library'
-    id 'maven-publish'
-    id 'signing'
-}
-
-archivesBaseName = 'whispercpp'
-group = 'io.github.ggerganov'
-version = '1.4.0'
-
-
-sourceCompatibility = 1.8
-targetCompatibility = 1.8
-
-sourceSets {
-    main {
-        resources {
-            srcDirs = ['src/main/resources', 'build/generated/resources/main']
-        }
-    }
-    test {
-        runtimeClasspath += files('build/generated/resources/main')
-    }
-}
-
-tasks.register('copyLibwhisperDynlib', Copy) {
-    from '../../build/src'
-    include 'libwhisper.dylib'
-    into 'build/generated/resources/main/darwin'
-}
-
-tasks.register('copyLibwhisperSo', Copy) {
-    from '../../build/src'
-    include 'libwhisper.so'
-    into 'build/generated/resources/main/linux-x86-64'
-}
-
-tasks.register('copyWhisperDll', Copy) {
-    from '../../build/Release'
-    include 'whisper.dll'
-    into 'build/generated/resources/main/windows-x86-64'
-}
-
-tasks.register('copyLibs') {
-    dependsOn copyLibwhisperDynlib, copyLibwhisperSo, copyWhisperDll
-}
-
-test {
-    systemProperty 'jna.library.path', project.file('build/generated/resources/main').absolutePath
-}
-
-java {
-    withSourcesJar()
-    withJavadocJar()
-}
-
-sourcesJar() {
-    dependsOn copyLibs
-}
-
-jar {
-    dependsOn copyLibs
-    exclude '**/whisper_java.exp', '**/whisper_java.lib'
-}
-
-javadoc {
-    options.addStringOption('Xdoclint:none', '-quiet')
-}
-
-tasks.withType(Test) {
-    useJUnitPlatform()
-}
-
-test.dependsOn copyLibs
-processResources.dependsOn copyLibs
-
-dependencies {
-    implementation "net.java.dev.jna:jna:5.13.0"
-    testImplementation "org.junit.jupiter:junit-jupiter:5.9.2"
-    testImplementation "org.assertj:assertj-core:3.24.2"
-}
-
-repositories {
-    mavenCentral()
-}
-
-publishing {
-    publications {
-        mavenJava(MavenPublication) {
-            artifactId = 'whispercpp'
-            from components.java
-            pom {
-                name = 'whispercpp'
-                description = "Java JNA bindings for OpenAI's Whisper model, implemented in C/C++"
-                url = 'https://github.com/ggerganov/whisper.cpp'
-                licenses {
-                    license {
-                        name = 'MIT licence'
-                        url = 'https://raw.githubusercontent.com/ggerganov/whisper.cpp/master/LICENSE'
-                    }
-                }
-                developers {
-                    developer {
-                        id = 'ggerganov'
-                        name = 'Georgi Gerganov'
-                        email = 'ggerganov@gmail.com'
-                    }
-                    developer {
-                        id = 'nalbion'
-                        name = 'Nicholas Albion'
-                        email = 'nalbion@yahoo.com'
-                    }
-                }
-                scm {
-                    connection = 'scm:git:git://github.com/ggerganov/whisper.cpp.git'
-                    url = 'https://github.com/ggerganov/whisper.cpp'
-                }
-            }
-        }
-    }
-
-    repositories {
-        maven {
-            def releasesRepoUrl = 'https://s01.oss.sonatype.org/service/local/staging/deploy/maven2/'
-            def snapshotsRepoUrl = 'https://s01.oss.sonatype.org/content/repositories/snapshots/'
-            url = version.endsWith('-SNAPSHOT') ? snapshotsRepoUrl : releasesRepoUrl
-            credentials {
-                username = System.getenv("MAVEN_USERNAME")
-                password = System.getenv("MAVEN_PASSWORD")
-            }
-        }
-    }
-}
-
-signing {
-    def signingKey = System.getenv("PGP_SECRET")
-    def signingPassword = System.getenv("PGP_PASSPHRASE")
-    useInMemoryPgpKeys(signingKey, signingPassword)
-    sign publishing.publications.mavenJava
-}
--- a/bindings/java/gradle.properties
+++ b/bindings/java/gradle.properties
@ -1,6 +0,0 @@
-org.gradle.jvmargs=-Xms256m -Xmx1024m
-system.include.dir=/usr/include
-#system.local.include.dir=../../include
-system.local.include.dir=./build/generated/sources/headers/java/main
-jni.include.dir=/usr/lib/jvm/java-8-openjdk-amd64/include/
-jni.lib.dir=/usr/lib/jvm/java-8-openjdk-amd64/lib/
--- a/bindings/java/gradle/wrapper/gradle-wrapper.jar
+++ b/bindings/java/gradle/wrapper/gradle-wrapper.jar
--- a/bindings/java/gradle/wrapper/gradle-wrapper.properties
+++ b/bindings/java/gradle/wrapper/gradle-wrapper.properties
@ -1,6 +0,0 @@
-distributionBase=GRADLE_USER_HOME
-distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-8.1-bin.zip
-networkTimeout=10000
-zipStoreBase=GRADLE_USER_HOME
-zipStorePath=wrapper/dists
--- a/bindings/java/gradlew
+++ b/bindings/java/gradlew
@ -1,244 +0,0 @@
-#!/bin/sh
-
-#
-# Copyright © 2015-2021 the original authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#      https://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-#
-
-##############################################################################
-#
-#   Gradle start up script for POSIX generated by Gradle.
-#
-#   Important for running:
-#
-#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
-#       noncompliant, but you have some other compliant shell such as ksh or
-#       bash, then to run this script, type that shell name before the whole
-#       command line, like:
-#
-#           ksh Gradle
-#
-#       Busybox and similar reduced shells will NOT work, because this script
-#       requires all of these POSIX shell features:
-#         * functions;
-#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
-#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
-#         * compound commands having a testable exit status, especially «case»;
-#         * various built-in commands including «command», «set», and «ulimit».
-#
-#   Important for patching:
-#
-#   (2) This script targets any POSIX shell, so it avoids extensions provided
-#       by Bash, Ksh, etc; in particular arrays are avoided.
-#
-#       The "traditional" practice of packing multiple parameters into a
-#       space-separated string is a well documented source of bugs and security
-#       problems, so this is (mostly) avoided, by progressively accumulating
-#       options in "$@", and eventually passing that to Java.
-#
-#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
-#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
-#       see the in-line comments for details.
-#
-#       There are tweaks for specific operating systems such as AIX, CygWin,
-#       Darwin, MinGW, and NonStop.
-#
-#   (3) This script is generated from the Groovy template
-#       https://github.com/gradle/gradle/blob/HEAD/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
-#       within the Gradle project.
-#
-#       You can find Gradle at https://github.com/gradle/gradle/.
-#
-##############################################################################
-
-# Attempt to set APP_HOME
-
-# Resolve links: $0 may be a link
-app_path=$0
-
-# Need this for daisy-chained symlinks.
-while
-    APP_HOME=${app_path%"${app_path##*/}"}  # leaves a trailing /; empty if no leading path
-    [ -h "$app_path" ]
-do
-    ls=$( ls -ld "$app_path" )
-    link=${ls#*' -> '}
-    case $link in             #(
-      /*)   app_path=$link ;; #(
-      *)    app_path=$APP_HOME$link ;;
-    esac
-done
-
-# This is normally unused
-# shellcheck disable=SC2034
-APP_BASE_NAME=${0##*/}
-APP_HOME=$( cd "${APP_HOME:-./}" && pwd -P ) || exit
-
-# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
-
-# Use the maximum available, or set MAX_FD != -1 to use that value.
-MAX_FD=maximum
-
-warn () {
-    echo "$*"
-} >&2
-
-die () {
-    echo
-    echo "$*"
-    echo
-    exit 1
-} >&2
-
-# OS specific support (must be 'true' or 'false').
-cygwin=false
-msys=false
-darwin=false
-nonstop=false
-case "$( uname )" in                #(
-  CYGWIN* )         cygwin=true  ;; #(
-  Darwin* )         darwin=true  ;; #(
-  MSYS* | MINGW* )  msys=true    ;; #(
-  NONSTOP* )        nonstop=true ;;
-esac
-
-CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
-
-
-# Determine the Java command to use to start the JVM.
-if [ -n "$JAVA_HOME" ] ; then
-    if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
-        # IBM's JDK on AIX uses strange locations for the executables
-        JAVACMD=$JAVA_HOME/jre/sh/java
-    else
-        JAVACMD=$JAVA_HOME/bin/java
-    fi
-    if [ ! -x "$JAVACMD" ] ; then
-        die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
-
-Please set the JAVA_HOME variable in your environment to match the
-location of your Java installation."
-    fi
-else
-    JAVACMD=java
-    which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
-
-Please set the JAVA_HOME variable in your environment to match the
-location of your Java installation."
-fi
-
-# Increase the maximum file descriptors if we can.
-if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
-    case $MAX_FD in #(
-      max*)
-        # In POSIX sh, ulimit -H is undefined. That's why the result is checked to see if it worked.
-        # shellcheck disable=SC3045
-        MAX_FD=$( ulimit -H -n ) ||
-            warn "Could not query maximum file descriptor limit"
-    esac
-    case $MAX_FD in  #(
-      '' | soft) :;; #(
-      *)
-        # In POSIX sh, ulimit -n is undefined. That's why the result is checked to see if it worked.
-        # shellcheck disable=SC3045
-        ulimit -n "$MAX_FD" ||
-            warn "Could not set maximum file descriptor limit to $MAX_FD"
-    esac
-fi
-
-# Collect all arguments for the java command, stacking in reverse order:
-#   * args from the command line
-#   * the main class name
-#   * -classpath
-#   * -D...appname settings
-#   * --module-path (only if needed)
-#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
-
-# For Cygwin or MSYS, switch paths to Windows format before running java
-if "$cygwin" || "$msys" ; then
-    APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
-    CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" )
-
-    JAVACMD=$( cygpath --unix "$JAVACMD" )
-
-    # Now convert the arguments - kludge to limit ourselves to /bin/sh
-    for arg do
-        if
-            case $arg in                                #(
-              -*)   false ;;                            # don't mess with options #(
-              /?*)  t=${arg#/} t=/${t%%/*}              # looks like a POSIX filepath
-                    [ -e "$t" ] ;;                      #(
-              *)    false ;;
-            esac
-        then
-            arg=$( cygpath --path --ignore --mixed "$arg" )
-        fi
-        # Roll the args list around exactly as many times as the number of
-        # args, so each arg winds up back in the position where it started, but
-        # possibly modified.
-        #
-        # NB: a `for` loop captures its iteration list before it begins, so
-        # changing the positional parameters here affects neither the number of
-        # iterations, nor the values presented in `arg`.
-        shift                   # remove old arg
-        set -- "$@" "$arg"      # push replacement arg
-    done
-fi
-
-# Collect all arguments for the java command;
-#   * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of
-#     shell script including quotes and variable substitutions, so put them in
-#     double quotes to make sure that they get re-expanded; and
-#   * put everything else in single quotes, so that it's not re-expanded.
-
-set -- \
-        "-Dorg.gradle.appname=$APP_BASE_NAME" \
-        -classpath "$CLASSPATH" \
-        org.gradle.wrapper.GradleWrapperMain \
-        "$@"
-
-# Stop when "xargs" is not available.
-if ! command -v xargs >/dev/null 2>&1
-then
-    die "xargs is not available"
-fi
-
-# Use "xargs" to parse quoted args.
-#
-# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
-#
-# In Bash we could simply go:
-#
-#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
-#   set -- "${ARGS[@]}" "$@"
-#
-# but POSIX shell has neither arrays nor command substitution, so instead we
-# post-process each arg (as a line of input to sed) to backslash-escape any
-# character that might be a shell metacharacter, then use eval to reverse
-# that process (while maintaining the separation between arguments), and wrap
-# the whole thing up as a single "set" statement.
-#
-# This will of course break if any of these variables contains a newline or
-# an unmatched quote.
-#
-
-eval "set -- $(
-        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
-        xargs -n1 |
-        sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
-        tr '\n' ' '
-    )" '"$@"'
-
-exec "$JAVACMD" "$@"
--- a/bindings/java/gradlew.bat
+++ b/bindings/java/gradlew.bat
@ -1,92 +0,0 @@
-@rem
-@rem Copyright 2015 the original author or authors.
-@rem
-@rem Licensed under the Apache License, Version 2.0 (the "License");
-@rem you may not use this file except in compliance with the License.
-@rem You may obtain a copy of the License at
-@rem
-@rem      https://www.apache.org/licenses/LICENSE-2.0
-@rem
-@rem Unless required by applicable law or agreed to in writing, software
-@rem distributed under the License is distributed on an "AS IS" BASIS,
-@rem WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-@rem See the License for the specific language governing permissions and
-@rem limitations under the License.
-@rem
-
-@if "%DEBUG%"=="" @echo off
-@rem ##########################################################################
-@rem
-@rem  Gradle startup script for Windows
-@rem
-@rem ##########################################################################
-
-@rem Set local scope for the variables with windows NT shell
-if "%OS%"=="Windows_NT" setlocal
-
-set DIRNAME=%~dp0
-if "%DIRNAME%"=="" set DIRNAME=.
-@rem This is normally unused
-set APP_BASE_NAME=%~n0
-set APP_HOME=%DIRNAME%
-
-@rem Resolve any "." and ".." in APP_HOME to make it shorter.
-for %%i in ("%APP_HOME%") do set APP_HOME=%%~fi
-
-@rem Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
-set DEFAULT_JVM_OPTS="-Xmx64m" "-Xms64m"
-
-@rem Find java.exe
-if defined JAVA_HOME goto findJavaFromJavaHome
-
-set JAVA_EXE=java.exe
-%JAVA_EXE% -version >NUL 2>&1
-if %ERRORLEVEL% equ 0 goto execute
-
-echo.
-echo ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
-echo.
-echo Please set the JAVA_HOME variable in your environment to match the
-echo location of your Java installation.
-
-goto fail
-
-:findJavaFromJavaHome
-set JAVA_HOME=%JAVA_HOME:"=%
-set JAVA_EXE=%JAVA_HOME%/bin/java.exe
-
-if exist "%JAVA_EXE%" goto execute
-
-echo.
-echo ERROR: JAVA_HOME is set to an invalid directory: %JAVA_HOME%
-echo.
-echo Please set the JAVA_HOME variable in your environment to match the
-echo location of your Java installation.
-
-goto fail
-
-:execute
-@rem Setup the command line
-
-set CLASSPATH=%APP_HOME%\gradle\wrapper\gradle-wrapper.jar
-
-
-@rem Execute Gradle
-"%JAVA_EXE%" %DEFAULT_JVM_OPTS% %JAVA_OPTS% %GRADLE_OPTS% "-Dorg.gradle.appname=%APP_BASE_NAME%" -classpath "%CLASSPATH%" org.gradle.wrapper.GradleWrapperMain %*
-
-:end
-@rem End local scope for the variables with windows NT shell
-if %ERRORLEVEL% equ 0 goto mainEnd
-
-:fail
-rem Set variable GRADLE_EXIT_CONSOLE if you need the _script_ return code instead of
-rem the _cmd.exe /c_ return code!
-set EXIT_CODE=%ERRORLEVEL%
-if %EXIT_CODE% equ 0 set EXIT_CODE=1
-if not ""=="%GRADLE_EXIT_CONSOLE%" exit %EXIT_CODE%
-exit /b %EXIT_CODE%
-
-:mainEnd
-if "%OS%"=="Windows_NT" endlocal
-
-:omega
--- a/bindings/java/settings.gradle
+++ b/bindings/java/settings.gradle
@ -1 +0,0 @@
-rootProject.name = "whispercpp"
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperConstants.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperConstants.java
@ -1,24 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-/**
- * Presets for alignment heads in DTW token timestamps
- */
-public class WhisperConstants {
-    // Alignment heads presets
-    public static final int WHISPER_AHEADS_NONE = 0;
-    public static final int WHISPER_AHEADS_TINY_EN = 1;
-    public static final int WHISPER_AHEADS_TINY = 2;
-    public static final int WHISPER_AHEADS_BASE_EN = 3;
-    public static final int WHISPER_AHEADS_BASE = 4;
-    public static final int WHISPER_AHEADS_SMALL_EN = 5;
-    public static final int WHISPER_AHEADS_SMALL = 6;
-    public static final int WHISPER_AHEADS_MEDIUM_EN = 7;
-    public static final int WHISPER_AHEADS_MEDIUM = 8;
-    public static final int WHISPER_AHEADS_LARGE_V1 = 9;
-    public static final int WHISPER_AHEADS_LARGE_V2 = 10;
-    public static final int WHISPER_AHEADS_LARGE_V3 = 11;
-    public static final int WHISPER_AHEADS_LARGE_V3_TURBO = 12;
-    public static final int WHISPER_AHEADS_CUSTOM = 13;
-    public static final int WHISPER_AHEADS_N_TOP_MOST = 14;
-    public static final int WHISPER_AHEADS_COUNT = 15;
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperContext.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperContext.java
@ -1,36 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import com.sun.jna.NativeLong;
-import com.sun.jna.Structure;
-import com.sun.jna.ptr.PointerByReference;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.ggml.GgmlType;
-import io.github.ggerganov.whispercpp.WhisperModel;
-import io.github.ggerganov.whispercpp.params.WhisperContextParams;
-
-import java.util.List;
-
-public class WhisperContext extends Structure {
-    public NativeLong t_load_us;
-    public NativeLong t_start_us;
-
-    /** weight type (FP32 / FP16 / QX) */
-    public GgmlType wtype = GgmlType.GGML_TYPE_F16;
-    /** intermediate type (FP32 or FP16) */
-    public GgmlType itype = GgmlType.GGML_TYPE_F16;
-
-    public WhisperContextParams.ByValue params;
-
-    public Pointer model;
-    public Pointer vocab;
-    public Pointer state;
-
-    /** populated by whisper_init_from_file_with_params() */
-    public Pointer path_model;
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return List.of("t_load_us", "t_start_us", "wtype", "itype",
-                "params", "model", "vocab", "state", "path_model");
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperCpp.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperCpp.java
@ -1,216 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import com.sun.jna.Native;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.bean.WhisperSegment;
-import io.github.ggerganov.whispercpp.params.WhisperContextParams;
-import io.github.ggerganov.whispercpp.params.WhisperFullParams;
-import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
-
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.io.IOException;
-import java.util.ArrayList;
-import java.util.List;
-
-/**
- * Before calling most methods, you must call `initContext(modelPath)` to initialise the `ctx` Pointer.
- */
-public class WhisperCpp implements AutoCloseable {
-    private WhisperCppJnaLibrary lib = WhisperCppJnaLibrary.instance;
-    private Pointer ctx = null;
-    private Pointer paramsPointer = null;
-    private Pointer greedyParamsPointer = null;
-    private Pointer beamParamsPointer = null;
-
-    public File modelDir() {
-        String modelDirPath = System.getenv("XDG_CACHE_HOME");
-        if (modelDirPath == null) {
-            modelDirPath = System.getProperty("user.home") + "/.cache";
-        }
-
-        return new File(modelDirPath, "whisper");
-    }
-
-    /**
-     * @param modelPath - absolute path, or just the name (eg: "base", "base-en" or "base.en")
-     */
-    public void initContext(String modelPath) throws FileNotFoundException {
-        initContextImpl(modelPath, getContextDefaultParams());
-    }
-
-    /**
-     * @param modelPath - absolute path, or just the name (eg: "base", "base-en" or "base.en")
-     * @param params - params to use when initialising the context
-     */
-    public void initContext(String modelPath, WhisperContextParams.ByValue params) throws FileNotFoundException {
-        initContextImpl(modelPath, params);
-    }
-
-    private void initContextImpl(String modelPath, WhisperContextParams.ByValue params) throws FileNotFoundException {
-        if (ctx != null) {
-            lib.whisper_free(ctx);
-        }
-
-        if (!modelPath.contains("/") && !modelPath.contains("\\")) {
-            if (!modelPath.endsWith(".bin")) {
-                modelPath = "ggml-" + modelPath.replace("-", ".") + ".bin";
-            }
-
-            modelPath = new File(modelDir(), modelPath).getAbsolutePath();
-        }
-
-        ctx = lib.whisper_init_from_file_with_params(modelPath, params);
-
-        if (ctx == null) {
-            throw new FileNotFoundException(modelPath);
-        }
-    }
-
-    /**
-     * Provides default params which can be used with `whisper_init_from_file_with_params()` etc.
-     * Returns a ByValue instance to ensure proper parameter passing to native code.
-     */
-    public WhisperContextParams.ByValue getContextDefaultParams() {
-        WhisperContextParams.ByValue valueParams = new WhisperContextParams.ByValue(
-            lib.whisper_context_default_params_by_ref());
-        valueParams.read();
-        return valueParams;
-    }
-    
-    /**
-     * Provides default params which can be used with `whisper_full()` etc.
-     * Because this function allocates memory for the params, the caller must call either:
-     * - call `whisper_free_params()`
-     * - `Native.free(Pointer.nativeValue(pointer));`
-     *
-     * @param strategy - GREEDY
-     */
-    public WhisperFullParams.ByValue getFullDefaultParams(WhisperSamplingStrategy strategy) {
-        Pointer pointer;
-
-        // whisper_full_default_params_by_ref allocates memory which we need to delete, so only create max 1 pointer for each strategy.
-        if (strategy == WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY) {
-            if (greedyParamsPointer == null) {
-                greedyParamsPointer = lib.whisper_full_default_params_by_ref(strategy.ordinal());
-            }
-            pointer = greedyParamsPointer;
-        } else {
-            if (beamParamsPointer == null) {
-                beamParamsPointer = lib.whisper_full_default_params_by_ref(strategy.ordinal());
-            }
-            pointer = beamParamsPointer;
-        }
-
-        WhisperFullParams.ByValue params = new WhisperFullParams.ByValue(pointer);
-        params.read();
-        return params;
-    }
-
-    @Override
-    public void close() {
-        freeContext();
-        freeParams();
-        System.out.println("Whisper closed");
-    }
-
-    private void freeContext() {
-        if (ctx != null) {
-            lib.whisper_free(ctx);
-        }
-    }
-
-    private void freeParams() {
-        if (paramsPointer != null) {
-            Native.free(Pointer.nativeValue(paramsPointer));
-            paramsPointer = null;
-        }
-        if (greedyParamsPointer != null) {
-            Native.free(Pointer.nativeValue(greedyParamsPointer));
-            greedyParamsPointer = null;
-        }
-        if (beamParamsPointer != null) {
-            Native.free(Pointer.nativeValue(beamParamsPointer));
-            beamParamsPointer = null;
-        }
-    }
-
-    /**
-     * Run the entire model: PCM -&gt; log mel spectrogram -&gt; encoder -&gt; decoder -&gt; text.
-     * Not thread safe for same context
-     * Uses the specified decoding strategy to obtain the text.
-     */
-    public String fullTranscribe(WhisperFullParams.ByValue whisperParams, float[] audioData) throws IOException {
-        if (ctx == null) {
-            throw new IllegalStateException("Model not initialised");
-        }
-
-        /*
-        WhisperFullParams.ByValue valueParams = new WhisperFullParams.ByValue(
-            lib.whisper_full_default_params_by_ref(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH.ordinal()));
-        valueParams.read();
-        */
-
-        if (lib.whisper_full(ctx, whisperParams, audioData, audioData.length) != 0) {
-            throw new IOException("Failed to process audio");
-        }
-
-        int nSegments = lib.whisper_full_n_segments(ctx);
-
-        StringBuilder str = new StringBuilder();
-
-        for (int i = 0; i < nSegments; i++) {
-            String text = lib.whisper_full_get_segment_text(ctx, i);
-            System.out.println("Segment:" + text);
-            str.append(text);
-        }
-
-        return str.toString().trim();
-    }
-
-    public List<WhisperSegment> fullTranscribeWithTime(WhisperFullParams whisperParams, float[] audioData) throws IOException {
-        if (ctx == null) {
-            throw new IllegalStateException("Model not initialised");
-        }
-
-        WhisperFullParams.ByValue valueParams = new WhisperFullParams.ByValue(
-            lib.whisper_full_default_params_by_ref(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH.ordinal()));
-        valueParams.read();
-
-        if (lib.whisper_full(ctx, valueParams, audioData, audioData.length) != 0) {
-            throw new IOException("Failed to process audio");
-        }
-
-        int nSegments = lib.whisper_full_n_segments(ctx);
-        List<WhisperSegment> segments= new ArrayList<>(nSegments);
-
-
-        for (int i = 0; i < nSegments; i++) {
-            long t0 = lib.whisper_full_get_segment_t0(ctx, i);
-            String text = lib.whisper_full_get_segment_text(ctx, i);
-            long t1 = lib.whisper_full_get_segment_t1(ctx, i);
-            segments.add(new WhisperSegment(t0,t1,text));
-        }
-
-        return segments;
-    }
-
-//    public int getTextSegmentCount(Pointer ctx) {
-//        return lib.whisper_full_n_segments(ctx);
-//    }
-//    public String getTextSegment(Pointer ctx, int index) {
-//        return lib.whisper_full_get_segment_text(ctx, index);
-//    }
-
-    public String getSystemInfo() {
-        return lib.whisper_print_system_info();
-    }
-
-    public int benchMemcpy(int nthread) {
-        return lib.whisper_bench_memcpy(nthread);
-    }
-
-    public int benchGgmlMulMat(int nthread) {
-        return lib.whisper_bench_ggml_mul_mat(nthread);
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperCppJnaLibrary.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/WhisperCppJnaLibrary.java
@ -1,389 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import com.sun.jna.Library;
-import com.sun.jna.Native;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.model.WhisperModelLoader;
-import io.github.ggerganov.whispercpp.model.WhisperTokenData;
-import io.github.ggerganov.whispercpp.params.WhisperContextParams;
-import io.github.ggerganov.whispercpp.params.WhisperFullParams;
-
-public interface WhisperCppJnaLibrary extends Library {
-    WhisperCppJnaLibrary instance = Native.load("whisper", WhisperCppJnaLibrary.class);
-
-    String whisper_print_system_info();
-
-    /**
-     * DEPRECATED. Allocate (almost) all memory needed for the model by loading from a file.
-     *
-     * @param path_model Path to the model file
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_from_file(String path_model);
-
-    /**
-     * Provides default params which can be used with `whisper_init_from_file_with_params()` etc.
-     * Because this function allocates memory for the params, the caller must call either:
-     * - call `whisper_free_context_params()`
-     * - `Native.free(Pointer.nativeValue(pointer));`
-     */
-    Pointer whisper_context_default_params_by_ref();
-
-    void whisper_free_context_params(Pointer params);
-
-    /**
-     * Allocate (almost) all memory needed for the model by loading from a file.
-     *
-     * @param path_model Path to the model file
-     * @param params     Pointer to whisper_context_params
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_from_file_with_params(String path_model, WhisperContextParams.ByValue params);
-
-    /**
-     * Allocate (almost) all memory needed for the model by loading from a buffer.
-     *
-     * @param buffer       Model buffer
-     * @param buffer_size  Size of the model buffer
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_from_buffer(Pointer buffer, int buffer_size);
-
-    /**
-     * Allocate (almost) all memory needed for the model using a model loader.
-     *
-     * @param loader Model loader
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init(WhisperModelLoader loader);
-
-    /**
-     * Allocate (almost) all memory needed for the model by loading from a file without allocating the state.
-     *
-     * @param path_model Path to the model file
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_from_file_no_state(String path_model);
-
-    /**
-     * Allocate (almost) all memory needed for the model by loading from a buffer without allocating the state.
-     *
-     * @param buffer       Model buffer
-     * @param buffer_size  Size of the model buffer
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_from_buffer_no_state(Pointer buffer, int buffer_size);
-
-//    Pointer whisper_init_from_buffer_no_state(Pointer buffer, long buffer_size);
-
-    /**
-     * Allocate (almost) all memory needed for the model using a model loader without allocating the state.
-     *
-     * @param loader Model loader
-     * @return Whisper context on success, null on failure
-     */
-    Pointer whisper_init_no_state(WhisperModelLoader loader);
-
-    /**
-     * Allocate memory for the Whisper state.
-     *
-     * @param ctx Whisper context
-     * @return Whisper state on success, null on failure
-     */
-    Pointer whisper_init_state(Pointer ctx);
-
-    /**
-     * Free all allocated memory associated with the Whisper context.
-     *
-     * @param ctx Whisper context
-     */
-    void whisper_free(Pointer ctx);
-
-    /**
-     * Free all allocated memory associated with the Whisper state.
-     *
-     * @param state Whisper state
-     */
-    void whisper_free_state(Pointer state);
-
-
-    /**
-     * Convert RAW PCM audio to log mel spectrogram.
-     * The resulting spectrogram is stored inside the default state of the provided whisper context.
-     *
-     * @param ctx - Pointer to a WhisperContext
-     * @return 0 on success
-     */
-    int whisper_pcm_to_mel(Pointer ctx, final float[] samples, int n_samples, int n_threads);
-
-    /**
-     * @param ctx Pointer to a WhisperContext
-     * @param state Pointer to WhisperState
-     * @param n_samples
-     * @param n_threads
-     * @return 0 on success
-     */
-    int whisper_pcm_to_mel_with_state(Pointer ctx, Pointer state, final float[] samples, int n_samples, int n_threads);
-
-    /**
-     * This can be used to set a custom log mel spectrogram inside the default state of the provided whisper context.
-     * Use this instead of whisper_pcm_to_mel() if you want to provide your own log mel spectrogram.
-     * n_mel must be 80
-     * @return 0 on success
-     */
-    int whisper_set_mel(Pointer ctx, final float[] data, int n_len, int n_mel);
-    int whisper_set_mel_with_state(Pointer ctx, Pointer state, final float[] data, int n_len, int n_mel);
-
-    /**
-     * Run the Whisper encoder on the log mel spectrogram stored inside the default state in the provided whisper context.
-     * Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first.
-     * Offset can be used to specify the offset of the first frame in the spectrogram.
-     * @return 0 on success
-     */
-    int whisper_encode(Pointer ctx, int offset, int n_threads);
-
-    int whisper_encode_with_state(Pointer ctx, Pointer state, int offset, int n_threads);
-
-    /**
-     * Run the Whisper decoder to obtain the logits and probabilities for the next token.
-     * Make sure to call whisper_encode() first.
-     * tokens + n_tokens is the provided context for the decoder.
-     * n_past is the number of tokens to use from previous decoder calls.
-     * Returns 0 on success
-     * TODO: add support for multiple decoders
-     */
-    int whisper_decode(Pointer ctx, Pointer tokens, int n_tokens, int n_past, int n_threads);
-
-    /**
-     * @param ctx
-     * @param state
-     * @param tokens Pointer to int tokens
-     * @param n_tokens
-     * @param n_past
-     * @param n_threads
-     * @return
-     */
-    int whisper_decode_with_state(Pointer ctx, Pointer state, Pointer tokens, int n_tokens, int n_past, int n_threads);
-
-    /**
-     * Convert the provided text into tokens.
-     * The tokens pointer must be large enough to hold the resulting tokens.
-     * Returns the number of tokens on success, no more than n_max_tokens
-     * Returns -1 on failure
-     * TODO: not sure if correct
-     */
-    int whisper_tokenize(Pointer ctx, String text, Pointer tokens, int n_max_tokens);
-
-    /** Largest language id (i.e. number of available languages - 1) */
-    int whisper_lang_max_id();
-
-    /**
-     * @return the id of the specified language, returns -1 if not found.
-     * Examples:
-     *   "de" -&gt; 2
-     *   "german" -&gt; 2
-     */
-    int whisper_lang_id(String lang);
-
-    /** @return the short string of the specified language id (e.g. 2 -&gt; "de"), returns nullptr if not found */
-    String whisper_lang_str(int id);
-
-    /**
-     * Use mel data at offset_ms to try and auto-detect the spoken language.
-     * Make sure to call whisper_pcm_to_mel() or whisper_set_mel() first
-     * Returns the top language id or negative on failure
-     * If not null, fills the lang_probs array with the probabilities of all languages
-     * The array must be whisper_lang_max_id() + 1 in size
-     *
-     * ref: https://github.com/openai/whisper/blob/main/whisper/decoding.py#L18-L69
-     */
-    int whisper_lang_auto_detect(Pointer ctx, int offset_ms, int n_threads, float[] lang_probs);
-
-    int whisper_lang_auto_detect_with_state(Pointer ctx, Pointer state, int offset_ms, int n_threads, float[] lang_probs);
-
-    int whisper_n_len           (Pointer ctx); // mel length
-    int whisper_n_len_from_state(Pointer state); // mel length
-    int whisper_n_vocab         (Pointer ctx);
-    int whisper_n_text_ctx      (Pointer ctx);
-    int whisper_n_audio_ctx     (Pointer ctx);
-    int whisper_is_multilingual (Pointer ctx);
-
-    int whisper_model_n_vocab      (Pointer ctx);
-    int whisper_model_n_audio_ctx  (Pointer ctx);
-    int whisper_model_n_audio_state(Pointer ctx);
-    int whisper_model_n_audio_head (Pointer ctx);
-    int whisper_model_n_audio_layer(Pointer ctx);
-    int whisper_model_n_text_ctx   (Pointer ctx);
-    int whisper_model_n_text_state (Pointer ctx);
-    int whisper_model_n_text_head  (Pointer ctx);
-    int whisper_model_n_text_layer (Pointer ctx);
-    int whisper_model_n_mels       (Pointer ctx);
-    int whisper_model_ftype        (Pointer ctx);
-    int whisper_model_type         (Pointer ctx);
-
-    /**
-     * Token logits obtained from the last call to whisper_decode().
-     * The logits for the last token are stored in the last row
-     * Rows: n_tokens
-     * Cols: n_vocab
-     */
-    float[] whisper_get_logits           (Pointer ctx);
-    float[] whisper_get_logits_from_state(Pointer state);
-
-    // Token Id -> String. Uses the vocabulary in the provided context
-    String whisper_token_to_str(Pointer ctx, int token);
-    String whisper_model_type_readable(Pointer ctx);
-
-    // Special tokens
-    int whisper_token_eot (Pointer ctx);
-    int whisper_token_sot (Pointer ctx);
-    int whisper_token_prev(Pointer ctx);
-    int whisper_token_solm(Pointer ctx);
-    int whisper_token_not (Pointer ctx);
-    int whisper_token_beg (Pointer ctx);
-    int whisper_token_lang(Pointer ctx, int lang_id);
-
-    // Task tokens
-    int whisper_token_translate (Pointer ctx);
-    int whisper_token_transcribe(Pointer ctx);
-
-    // Performance information from the default state.
-    void whisper_print_timings(Pointer ctx);
-    void whisper_reset_timings(Pointer ctx);
-
-    // Note: Even if `whisper_full_params is stripped back to just 4 ints, JNA throws "Invalid memory access"
-    //       when `whisper_full_default_params()` tries to return a struct.
-    // WhisperFullParams whisper_full_default_params(int strategy);
-
-    /**
-     * Provides default params which can be used with `whisper_full()` etc.
-     * Because this function allocates memory for the params, the caller must call either:
-     * - call `whisper_free_params()`
-     * - `Native.free(Pointer.nativeValue(pointer));`
-     *
-     * @param strategy - WhisperSamplingStrategy.value
-     */
-    Pointer whisper_full_default_params_by_ref(int strategy);
-
-    void whisper_free_params(Pointer params);
-
-    /**
-     * Run the entire model: PCM -&gt; log mel spectrogram -&gt; encoder -&gt; decoder -&gt; text
-     * Not thread safe for same context
-     * Uses the specified decoding strategy to obtain the text.
-     */
-    int whisper_full(Pointer ctx, WhisperFullParams.ByValue params, final float[] samples, int n_samples);
-
-    public int whisper_full_with_state(Pointer ctx, Pointer state, WhisperFullParams.ByValue params, float[] samples, int n_samples);
-    //int whisper_full_with_state(Pointer ctx, Pointer state, WhisperFullParams params, final float[] samples, int n_samples);
-
-    // Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
-    // Result is stored in the default state of the context
-    // Not thread safe if executed in parallel on the same context.
-    // It seems this approach can offer some speedup in some cases.
-    // However, the transcription accuracy can be worse at the beginning and end of each chunk.
-    int whisper_full_parallel(Pointer ctx, WhisperFullParams.ByValue params, final float[] samples, int n_samples, int n_processors);
-
-    /**
-     * Number of generated text segments.
-     * A segment can be a few words, a sentence, or even a paragraph.
-     * @param ctx Pointer to WhisperContext
-     */
-    int whisper_full_n_segments (Pointer ctx);
-
-    /**
-     * @param state Pointer to WhisperState
-     */
-    int whisper_full_n_segments_from_state(Pointer state);
-
-    /**
-     * Language id associated with the context's default state.
-     * @param ctx Pointer to WhisperContext
-     */
-    int whisper_full_lang_id(Pointer ctx);
-
-    /** Language id associated with the provided state */
-    int whisper_full_lang_id_from_state(Pointer state);
-
-
-    /** Get the start time of the specified segment. */
-    long whisper_full_get_segment_t0(Pointer ctx, int i_segment);
-
-    /** Get the start time of the specified segment from the state. */
-    long whisper_full_get_segment_t0_from_state(Pointer state, int i_segment);
-
-    /** Get the end time of the specified segment. */
-    long whisper_full_get_segment_t1(Pointer ctx, int i_segment);
-
-    /** Get the end time of the specified segment from the state. */
-    long whisper_full_get_segment_t1_from_state(Pointer state, int i_segment);
-
-    /** Get the text of the specified segment. */
-    String whisper_full_get_segment_text(Pointer ctx, int i_segment);
-
-    /** Get the text of the specified segment from the state. */
-    String whisper_full_get_segment_text_from_state(Pointer state, int i_segment);
-
-    /** Get the number of tokens in the specified segment. */
-    int whisper_full_n_tokens(Pointer ctx, int i_segment);
-
-    /** Get the number of tokens in the specified segment from the state. */
-    int whisper_full_n_tokens_from_state(Pointer state, int i_segment);
-
-    /** Get the token text of the specified token in the specified segment. */
-    String whisper_full_get_token_text(Pointer ctx, int i_segment, int i_token);
-
-
-    /** Get the token text of the specified token in the specified segment from the state. */
-    String whisper_full_get_token_text_from_state(Pointer ctx, Pointer state, int i_segment, int i_token);
-
-    /** Get the token ID of the specified token in the specified segment. */
-    int whisper_full_get_token_id(Pointer ctx, int i_segment, int i_token);
-
-    /** Get the token ID of the specified token in the specified segment from the state. */
-    int whisper_full_get_token_id_from_state(Pointer state, int i_segment, int i_token);
-
-    /** Get token data for the specified token in the specified segment. */
-    WhisperTokenData whisper_full_get_token_data(Pointer ctx, int i_segment, int i_token);
-
-    /** Get token data for the specified token in the specified segment from the state. */
-    WhisperTokenData whisper_full_get_token_data_from_state(Pointer state, int i_segment, int i_token);
-
-    /** Get the probability of the specified token in the specified segment. */
-    float whisper_full_get_token_p(Pointer ctx, int i_segment, int i_token);
-
-    /** Get the probability of the specified token in the specified segment from the state. */
-    float whisper_full_get_token_p_from_state(Pointer state, int i_segment, int i_token);
-
-    /**
-     * Benchmark function for memcpy.
-     *
-     * @param nThreads Number of threads to use for the benchmark.
-     * @return The result of the benchmark.
-     */
-    int whisper_bench_memcpy(int nThreads);
-
-    /**
-     * Benchmark function for memcpy as a string.
-     *
-     * @param nThreads Number of threads to use for the benchmark.
-     * @return The result of the benchmark as a string.
-     */
-    String whisper_bench_memcpy_str(int nThreads);
-
-    /**
-     * Benchmark function for ggml_mul_mat.
-     *
-     * @param nThreads Number of threads to use for the benchmark.
-     * @return The result of the benchmark.
-     */
-    int whisper_bench_ggml_mul_mat(int nThreads);
-
-    /**
-     * Benchmark function for ggml_mul_mat as a string.
-     *
-     * @param nThreads Number of threads to use for the benchmark.
-     * @return The result of the benchmark as a string.
-     */
-    String whisper_bench_ggml_mul_mat_str(int nThreads);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/bean/WhisperSegment.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/bean/WhisperSegment.java
@ -1,47 +0,0 @@
-package io.github.ggerganov.whispercpp.bean;
-
-/**
- * Created by litonglinux@qq.com on 10/21/2023_7:48 AM
- */
-public class WhisperSegment {
-  private long start, end;
-  private String sentence;
-
-  public WhisperSegment() {
-  }
-
-  public WhisperSegment(long start, long end, String sentence) {
-    this.start = start;
-    this.end = end;
-    this.sentence = sentence;
-  }
-
-  public long getStart() {
-    return start;
-  }
-
-  public long getEnd() {
-    return end;
-  }
-
-  public String getSentence() {
-    return sentence;
-  }
-
-  public void setStart(long start) {
-    this.start = start;
-  }
-
-  public void setEnd(long end) {
-    this.end = end;
-  }
-
-  public void setSentence(String sentence) {
-    this.sentence = sentence;
-  }
-
-  @Override
-  public String toString() {
-    return "[" + start + " --> " + end + "]:" + sentence;
-  }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/GgmlAbortCallback.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/GgmlAbortCallback.java
@ -1,17 +0,0 @@
-package io.github.ggerganov.whispercpp.callbacks;
-
-import com.sun.jna.Callback;
-
-/**
- * Callback for aborting GGML computation
- * Maps to the C typedef: bool (*ggml_abort_callback)(void * data)
- */
-public interface GgmlAbortCallback extends Callback {
-    /**
-     * Return true to abort the computation, false to continue
-     *
-     * @param data User data passed to the callback
-     * @return true to abort, false to continue
-     */
-    boolean invoke(com.sun.jna.Pointer data);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperEncoderBeginCallback.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperEncoderBeginCallback.java
@ -1,24 +0,0 @@
-package io.github.ggerganov.whispercpp.callbacks;
-
-import com.sun.jna.Callback;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.WhisperContext;
-import io.github.ggerganov.whispercpp.model.WhisperState;
-
-/**
- * Callback before the encoder starts.
- * If not null, called before the encoder starts.
- * If it returns false, the computation is aborted.
- */
-public interface WhisperEncoderBeginCallback extends Callback {
-
-    /**
-     * Callback method before the encoder starts.
-     *
-     * @param ctx        The whisper context.
-     * @param state      The whisper state.
-     * @param user_data  User data.
-     * @return True if the computation should proceed, false otherwise.
-     */
-    boolean callback(Pointer ctx, Pointer state, Pointer user_data);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperLogitsFilterCallback.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperLogitsFilterCallback.java
@ -1,25 +0,0 @@
-package io.github.ggerganov.whispercpp.callbacks;
-
-import com.sun.jna.Callback;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.model.WhisperTokenData;
-
-/**
- * Callback to filter logits.
- * Can be used to modify the logits before sampling.
- * If not null, called after applying temperature to logits.
- */
-public interface WhisperLogitsFilterCallback extends Callback {
-
-    /**
-     * Callback method to filter logits.
-     *
-     * @param ctx        The whisper context.
-     * @param state      The whisper state.
-     * @param tokens     The array of whisper_token_data.
-     * @param n_tokens   The number of tokens.
-     * @param logits     The array of logits.
-     * @param user_data  User data.
-     */
-    void callback(Pointer ctx, Pointer state, WhisperTokenData[] tokens, int n_tokens, float[] logits, Pointer user_data);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperNewSegmentCallback.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperNewSegmentCallback.java
@ -1,24 +0,0 @@
-package io.github.ggerganov.whispercpp.callbacks;
-
-import com.sun.jna.Callback;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.WhisperContext;
-import io.github.ggerganov.whispercpp.model.WhisperState;
-
-/**
- * Callback for the text segment.
- * Called on every newly generated text segment.
- * Use the whisper_full_...() functions to obtain the text segments.
- */
-public interface WhisperNewSegmentCallback extends Callback {
-
-    /**
-     * Callback method for the text segment.
-     *
-     * @param ctx        The whisper context.
-     * @param state      The whisper state.
-     * @param n_new      The number of newly generated text segments.
-     * @param user_data  User data.
-     */
-    void callback(Pointer ctx, Pointer state, int n_new, Pointer user_data);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperProgressCallback.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/callbacks/WhisperProgressCallback.java
@ -1,22 +0,0 @@
-package io.github.ggerganov.whispercpp.callbacks;
-
-import com.sun.jna.Callback;
-import com.sun.jna.Pointer;
-import io.github.ggerganov.whispercpp.WhisperContext;
-import io.github.ggerganov.whispercpp.model.WhisperState;
-
-/**
- * Callback for progress updates.
- */
-public interface WhisperProgressCallback extends Callback {
-
-    /**
-     * Callback method for progress updates.
-     *
-     * @param ctx        The whisper context.
-     * @param state      The whisper state.
-     * @param progress   The progress value.
-     * @param user_data  User data.
-     */
-    void callback(Pointer ctx, Pointer state, int progress, Pointer user_data);
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/ggml/GgmlTensor.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/ggml/GgmlTensor.java
@ -1,4 +0,0 @@
-package io.github.ggerganov.whispercpp.ggml;
-
-public class GgmlTensor {
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/ggml/GgmlType.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/ggml/GgmlType.java
@ -1,18 +0,0 @@
-package io.github.ggerganov.whispercpp.ggml;
-
-public enum GgmlType {
-    GGML_TYPE_F32,
-    GGML_TYPE_F16,
-    GGML_TYPE_Q4_0,
-    GGML_TYPE_Q4_1,
-    REMOVED_GGML_TYPE_Q4_2,  // support has been removed
-    REMOVED_GGML_TYPE_Q4_3, // support has been removed
-    GGML_TYPE_Q5_0,
-    GGML_TYPE_Q5_1,
-    GGML_TYPE_Q8_0,
-    GGML_TYPE_Q8_1,
-    GGML_TYPE_I8,
-    GGML_TYPE_I16,
-    GGML_TYPE_I32,
-    GGML_TYPE_COUNT,
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/EModel.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/EModel.java
@ -1,10 +0,0 @@
-package io.github.ggerganov.whispercpp.model;
-
-public enum EModel {
-    MODEL_UNKNOWN,
-    MODEL_TINY,
-    MODEL_BASE,
-    MODEL_SMALL,
-    MODEL_MEDIUM,
-    MODEL_LARGE,
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperModel.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperModel.java
@ -1,49 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import io.github.ggerganov.whispercpp.ggml.GgmlTensor;
-import io.github.ggerganov.whispercpp.model.EModel;
-
-public class WhisperModel {
-//    EModel type = EModel.MODEL_UNKNOWN;
-//
-//    WhisperHParams hparams;
-//    WhisperFilters filters;
-//
-//    // encoder.positional_embedding
-//    GgmlTensor e_pe;
-//
-//    // encoder.conv1
-//    GgmlTensor e_conv_1_w;
-//    GgmlTensor e_conv_1_b;
-//
-//    // encoder.conv2
-//    GgmlTensor e_conv_2_w;
-//    GgmlTensor e_conv_2_b;
-//
-//    // encoder.ln_post
-//    GgmlTensor e_ln_w;
-//    GgmlTensor e_ln_b;
-//
-//    // decoder.positional_embedding
-//    GgmlTensor d_pe;
-//
-//    // decoder.token_embedding
-//    GgmlTensor d_te;
-//
-//    // decoder.ln
-//    GgmlTensor d_ln_w;
-//    GgmlTensor d_ln_b;
-//
-//    std::vector<whisper_layer_encoder> layers_encoder;
-//    std::vector<whisper_layer_decoder> layers_decoder;
-//
-//    // context
-//    struct ggml_context * ctx;
-//
-//    // the model memory buffer is read-only and can be shared between processors
-//    std::vector<uint8_t> * buf;
-//
-//    // tensors
-//    int n_loaded;
-//    Map<String, GgmlTensor> tensors;
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperModelLoader.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperModelLoader.java
@ -1,62 +0,0 @@
-package io.github.ggerganov.whispercpp.model;
-
-import com.sun.jna.Callback;
-import com.sun.jna.Pointer;
-import com.sun.jna.Structure;
-
-
-public class WhisperModelLoader extends Structure {
-    public Pointer context;
-    public ReadFunction read;
-    public EOFFunction eof;
-    public CloseFunction close;
-
-    public static class ReadFunction implements Callback {
-        public Pointer invoke(Pointer ctx, Pointer output, int readSize) {
-            // TODO
-            return ctx;
-        }
-    }
-
-    public static class EOFFunction implements Callback {
-        public boolean invoke(Pointer ctx) {
-            // TODO
-            return false;
-        }
-    }
-
-    public static class CloseFunction implements Callback {
-        public void invoke(Pointer ctx) {
-            // TODO
-        }
-    }
-
-//    public WhisperModelLoader(Pointer p) {
-//        super(p);
-//        read = new ReadFunction();
-//        eof = new EOFFunction();
-//        close = new CloseFunction();
-//        read.setCallback(this);
-//        eof.setCallback(this);
-//        close.setCallback(this);
-//        read.write();
-//        eof.write();
-//        close.write();
-//    }
-
-    public WhisperModelLoader() {
-        super();
-    }
-
-    public interface ReadCallback extends Callback {
-        Pointer invoke(Pointer ctx, Pointer output, int readSize);
-    }
-
-    public interface EOFCallback extends Callback {
-        boolean invoke(Pointer ctx);
-    }
-
-    public interface CloseCallback extends Callback {
-        void invoke(Pointer ctx);
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperState.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperState.java
@ -1,4 +0,0 @@
-package io.github.ggerganov.whispercpp.model;
-
-public class WhisperState {
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperTokenData.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/model/WhisperTokenData.java
@ -1,50 +0,0 @@
-package io.github.ggerganov.whispercpp.model;
-
-import com.sun.jna.Structure;
-
-import java.util.Arrays;
-import java.util.List;
-
-/**
- * Structure representing token data.
- */
-public class WhisperTokenData extends Structure {
-
-    /** Token ID. */
-    public int id;
-
-    /** Forced timestamp token ID. */
-    public int tid;
-
-    /** Probability of the token. */
-    public float p;
-
-    /** Log probability of the token. */
-    public float plog;
-
-    /** Probability of the timestamp token. */
-    public float pt;
-
-    /** Sum of probabilities of all timestamp tokens. */
-    public float ptsum;
-
-    /**
-     * Start time of the token (token-level timestamp data).
-     * Do not use if you haven't computed token-level timestamps.
-     */
-    public long t0;
-
-    /**
-     * End time of the token (token-level timestamp data).
-     * Do not use if you haven't computed token-level timestamps.
-     */
-    public long t1;
-
-    /** Voice length of the token. */
-    public float vlen;
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList("id", "tid", "p", "plog", "pt", "ptsum", "t0", "t1", "vlen");
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/BeamSearchParams.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/BeamSearchParams.java
@ -1,19 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-import com.sun.jna.Structure;
-
-import java.util.Arrays;
-import java.util.List;
-
-public class BeamSearchParams extends Structure {
-    /** ref: <a href="https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L265">...</a> */
-    public int beam_size;
-
-    /** ref: <a href="https://arxiv.org/pdf/2204.05424.pdf">...</a> */
-    public float patience;
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList("beam_size", "patience");
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/CBool.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/CBool.java
@ -1,30 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-import com.sun.jna.IntegerType;
-
-import java.util.function.BooleanSupplier;
-
-public class CBool extends IntegerType implements BooleanSupplier {
-    public static final int SIZE = 1;
-    public static final CBool FALSE = new CBool(0);
-    public static final CBool TRUE = new CBool(1);
-
-
-    public CBool() {
-        this(0);
-    }
-
-    public CBool(long value) {
-        super(SIZE, value, true);
-    }
-
-    @Override
-    public boolean getAsBoolean() {
-        return intValue() == 1;
-    }
-
-    @Override
-    public String toString() {
-        return intValue() == 1 ? "true" : "false";
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/GreedyParams.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/GreedyParams.java
@ -1,16 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-import com.sun.jna.Structure;
-
-import java.util.Collections;
-import java.util.List;
-
-public class GreedyParams extends Structure {
-    /** <a href="https://github.com/openai/whisper/blob/f82bc59f5ea234d4b97fb2860842ed38519f7e65/whisper/transcribe.py#L264">...</a> */
-    public int best_of;
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Collections.singletonList("best_of");
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperAhead.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperAhead.java
@ -1,30 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-import com.sun.jna.*;
-import java.util.Arrays;
-import java.util.List;
-
-public class WhisperAhead extends Structure {
-
-    public int n_text_layer;
-
-    public int n_head;
-
-    public WhisperAhead() {
-        super();
-    }
-
-    public WhisperAhead(int textLayer, int head) {
-        super();
-        this.n_text_layer = textLayer;
-        this.n_head = head;
-    }
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList("n_text_layer", "n_head");
-    }
-
-    public static class ByReference extends WhisperAhead implements Structure.ByReference {}
-
-    public static class ByValue extends WhisperAhead implements Structure.ByValue {}
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperAheads.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperAheads.java
@ -1,41 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-import com.sun.jna.*;
-import java.util.Arrays;
-import java.util.List;
-
-public class WhisperAheads extends Structure {
-    public NativeLong n_heads;
-
-    public Pointer heads;
-
-    public WhisperAheads() {
-        super();
-    }
-
-    /**
-     * Create alignment heads from an array of WhisperAhead objects
-     */
-    public void setHeads(WhisperAhead[] aheadsArray) {
-        this.n_heads = new NativeLong(aheadsArray.length);
-
-        int structSize = aheadsArray[0].size();
-        Memory mem = new Memory(structSize * aheadsArray.length);
-
-        for (int i = 0; i < aheadsArray.length; i++) {
-            aheadsArray[i].write();
-            byte[] buffer = aheadsArray[i].getPointer().getByteArray(0, structSize);
-            mem.write(i * structSize, buffer, 0, buffer.length);
-        }
-
-        this.heads = mem;
-    }
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList("n_heads", "heads");
-    }
-
-    public static class ByReference extends WhisperAheads implements Structure.ByReference {}
-
-    public static class ByValue extends WhisperAheads implements Structure.ByValue {}
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperContextParams.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperContextParams.java
@ -1,81 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-import com.sun.jna.*;
-import java.util.Arrays;
-import java.util.List;
-
-/**
- * Parameters for the whisper_init_from_file_with_params() function.
- * If you change the order or add new parameters, make sure to update the default values in whisper.cpp:
- * whisper_context_default_params()
- */
-public class WhisperContextParams extends Structure {
-    public WhisperContextParams(Pointer p) {
-        super(p);
-    }
-
-    public WhisperContextParams() {
-        super();
-    }
-
-    /** Use GPU for inference (default = true) */
-    public CBool use_gpu;
-
-    /** Use flash attention (default = false) */
-    public CBool flash_attn;
-
-    /** CUDA device to use (default = 0) */
-    public int gpu_device;
-
-    /** [EXPERIMENTAL] Enable token-level timestamps with DTW (default = false) */
-    public CBool dtw_token_timestamps;
-
-    /** [EXPERIMENTAL] Alignment heads preset for DTW */
-    public int dtw_aheads_preset;
-
-    /** Number of top layers to use for DTW when using WHISPER_AHEADS_N_TOP_MOST preset */
-    public int dtw_n_top;
-
-    public WhisperAheads.ByValue dtw_aheads;
-
-    /** DTW memory size (internal use) */
-    public NativeLong dtw_mem_size;
-
-    /** Use GPU for inference */
-    public void useGpu(boolean enable) {
-        use_gpu = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Use flash attention */
-    public void useFlashAttn(boolean enable) {
-        flash_attn = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Enable DTW token-level timestamps */
-    public void enableDtwTokenTimestamps(boolean enable) {
-        dtw_token_timestamps = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Set DTW alignment heads preset */
-    public void setDtwAheadsPreset(int preset) {
-        dtw_aheads_preset = preset;
-    }
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList(
-            "use_gpu",
-            "flash_attn",
-            "gpu_device",
-            "dtw_token_timestamps",
-            "dtw_aheads_preset",
-            "dtw_n_top",
-            "dtw_aheads",
-            "dtw_mem_size"
-        );
-    }
-
-    public static class ByValue extends WhisperContextParams implements Structure.ByValue {
-        public ByValue() { super(); }
-        public ByValue(Pointer p) { super(p); }
-    }
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFilters.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFilters.java
@ -1,10 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-import java.util.List;
-
-public class WhisperFilters {
-    int n_mel;
-    int n_fft;
-
-    List<Float> data;
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFullParams.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperFullParams.java
@ -1,358 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-import com.sun.jna.*;
-import io.github.ggerganov.whispercpp.callbacks.WhisperEncoderBeginCallback;
-import io.github.ggerganov.whispercpp.callbacks.WhisperLogitsFilterCallback;
-import io.github.ggerganov.whispercpp.callbacks.WhisperNewSegmentCallback;
-import io.github.ggerganov.whispercpp.callbacks.WhisperProgressCallback;
-import io.github.ggerganov.whispercpp.callbacks.GgmlAbortCallback;
-
-import java.util.Arrays;
-import java.util.List;
-
-/**
- * Parameters for the whisper_full() function.
- * If you change the order or add new parameters, make sure to update the default values in whisper.cpp:
- * whisper_full_default_params()
- */
-public class WhisperFullParams extends Structure {
-
-    public WhisperFullParams() {
-        super();
-    }
-
-    public WhisperFullParams(Pointer p) {
-        super(p);
-    }
-
-    /** Sampling strategy for whisper_full() function. */
-    public int strategy;
-
-    /** Number of threads. (default = 4) */
-    public int n_threads;
-
-    /** Maximum tokens to use from past text as a prompt for the decoder. (default = 16384) */
-    public int n_max_text_ctx;
-
-    /** Start offset in milliseconds. (default = 0) */
-    public int offset_ms;
-
-    /** Audio duration to process in milliseconds. (default = 0) */
-    public int duration_ms;
-
-    /** Translate flag. (default = false) */
-    public CBool translate;
-
-    /** The compliment of translateMode() */
-    public void transcribeMode() {
-        translate = CBool.FALSE;
-    }
-
-    /** The compliment of transcribeMode() */
-    public void translateMode() {
-        translate = CBool.TRUE;
-    }
-
-    /** Flag to indicate whether to use past transcription (if any) as an initial prompt for the decoder. (default = true) */
-    public CBool no_context;
-
-    /** Flag to indicate whether to use past transcription (if any) as an initial prompt for the decoder. (default = true) */
-    public void enableContext(boolean enable) {
-        no_context = enable ? CBool.FALSE : CBool.TRUE;
-    }
-
-    /** Generate timestamps or not? */
-    public CBool no_timestamps;
-
-    /** Flag to force single segment output (useful for streaming). (default = false) */
-    public CBool single_segment;
-
-    /** Flag to force single segment output (useful for streaming). (default = false) */
-    public void singleSegment(boolean single) {
-        single_segment = single ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Flag to print special tokens (e.g., &lt;SOT&gt;, &lt;EOT&gt;, &lt;BEG&gt;, etc.). (default = false) */
-    public CBool print_special;
-
-    /** Flag to print special tokens (e.g., &lt;SOT&gt;, &lt;EOT&gt;, &lt;BEG&gt;, etc.). (default = false) */
-    public void printSpecial(boolean enable) {
-        print_special = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Flag to print progress information. (default = true) */
-    public CBool print_progress;
-
-    /** Flag to print progress information. (default = true) */
-    public void printProgress(boolean enable) {
-        print_progress = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Flag to print results from within whisper.cpp (avoid it, use callback instead). (default = true) */
-    public CBool print_realtime;
-
-    /** Flag to print results from within whisper.cpp (avoid it, use callback instead). (default = true) */
-    public void printRealtime(boolean enable) {
-        print_realtime = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Flag to print timestamps for each text segment when printing realtime. (default = true) */
-    public CBool print_timestamps;
-
-    /** Flag to print timestamps for each text segment when printing realtime. (default = true) */
-    public void printTimestamps(boolean enable) {
-        print_timestamps = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** [EXPERIMENTAL] Flag to enable token-level timestamps. (default = false) */
-    public CBool token_timestamps;
-
-    /** [EXPERIMENTAL] Flag to enable token-level timestamps. (default = false) */
-    public void tokenTimestamps(boolean enable) {
-        token_timestamps = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** [EXPERIMENTAL] Timestamp token probability threshold (~0.01). (default = 0.01) */
-    public float thold_pt;
-
-    /** [EXPERIMENTAL] Timestamp token sum probability threshold (~0.01). */
-    public float thold_ptsum;
-
-    /** Maximum segment length in characters. (default = 0) */
-    public int max_len;
-
-    /** Flag to split on word rather than on token (when used with max_len). (default = false) */
-    public CBool split_on_word;
-
-    /** Flag to split on word rather than on token (when used with max_len). (default = false) */
-    public void splitOnWord(boolean enable) {
-        split_on_word = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Maximum tokens per segment (0, default = no limit) */
-    public int max_tokens;
-
-    /** [EXPERIMENTAL] Enable debug mode for extra info */
-    public CBool debug_mode;
-
-    /** Enable debug mode */
-    public void enableDebugMode(boolean enable) {
-        debug_mode = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Overwrite the audio context size (0 = use default). */
-    public int audio_ctx;
-
-    /** Enable tinydiarize (default = false) */
-    public CBool tdrz_enable;
-
-    /** Enable tinydiarize (default = false) */
-    public void tdrzEnable(boolean enable) {
-        tdrz_enable = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Regular expression matching tokens to suppress. */
-    public String suppress_regex;
-
-    /** Tokens to provide to the whisper decoder as an initial prompt.
-     * These are prepended to any existing text context from a previous call. */
-    public String initial_prompt;
-
-    /** Prompt tokens. (int*) */
-    public Pointer prompt_tokens;
-
-    public void setPromptTokens(int[] tokens) {
-        Memory mem = new Memory(tokens.length * 4L);
-        mem.write(0, tokens, 0, tokens.length);
-        prompt_tokens = mem;
-    }
-
-    /** Number of prompt tokens. */
-    public int prompt_n_tokens;
-
-    /** Language for auto-detection.
-     * For auto-detection, set to `null`, `""`, or "auto". */
-    public String language;
-
-    /** Flag to indicate whether to detect language automatically. */
-    public CBool detect_language;
-
-    /** Flag to indicate whether to detect language automatically. */
-    public void detectLanguage(boolean enable) {
-        detect_language = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    // Common decoding parameters.
-
-    /** Flag to suppress blank tokens. */
-    public CBool suppress_blank;
-
-    public void suppressBlanks(boolean enable) {
-        suppress_blank = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Flag to suppress non-speech tokens. */
-    public CBool suppress_nst;
-
-    /** Flag to suppress non-speech tokens. */
-    public void suppressNonSpeechTokens(boolean enable) {
-        suppress_nst = enable ? CBool.TRUE : CBool.FALSE;
-    }
-
-    /** Initial decoding temperature. */
-    public float temperature;
-
-    /** Maximum initial timestamp. */
-    public float max_initial_ts;
-
-    /** Length penalty. */
-    public float length_penalty;
-
-    // Fallback parameters.
-
-    /** Temperature increment. */
-    public float temperature_inc;
-
-    /** Entropy threshold (similar to OpenAI's "compression_ratio_threshold"). */
-    public float entropy_thold;
-
-    /** Log probability threshold. */
-    public float logprob_thold;
-
-    /** No speech threshold. */
-    public float no_speech_thold;
-
-    /** Greedy decoding parameters. */
-    public GreedyParams greedy;
-
-    /**
-     * Beam search decoding parameters.
-     */
-    public BeamSearchParams beam_search;
-
-    public void setBestOf(int bestOf) {
-        if (greedy == null) {
-            greedy = new GreedyParams();
-        }
-        greedy.best_of = bestOf;
-    }
-
-    public void setBeamSize(int beamSize) {
-        if (beam_search == null) {
-            beam_search = new BeamSearchParams();
-        }
-        beam_search.beam_size = beamSize;
-    }
-
-    public void setBeamSizeAndPatience(int beamSize, float patience) {
-        if (beam_search == null) {
-            beam_search = new BeamSearchParams();
-        }
-        beam_search.beam_size = beamSize;
-        beam_search.patience = patience;
-    }
-
-    /**
-     * Callback for every newly generated text segment.
-     * WhisperNewSegmentCallback
-     */
-    public Pointer new_segment_callback;
-
-    /**
-     * User data for the new_segment_callback.
-     */
-    public Pointer new_segment_callback_user_data;
-
-    /**
-     * Callback on each progress update.
-     * WhisperProgressCallback
-     */
-    public Pointer progress_callback;
-
-    /**
-     * User data for the progress_callback.
-     */
-    public Pointer progress_callback_user_data;
-
-    /**
-     * Callback each time before the encoder starts.
-     * WhisperEncoderBeginCallback
-     */
-    public Pointer encoder_begin_callback;
-
-    /**
-     * User data for the encoder_begin_callback.
-     */
-    public Pointer encoder_begin_callback_user_data;
-
-    /** Callback used to abort GGML computation */
-    public Pointer abort_callback;
-
-    /** User data for the abort_callback */
-    public Pointer abort_callback_user_data;
-
-    public void setAbortCallback(GgmlAbortCallback callback) {
-        abort_callback = CallbackReference.getFunctionPointer(callback);
-    }
-
-    /**
-     * Callback by each decoder to filter obtained logits.
-     * WhisperLogitsFilterCallback
-     */
-    public Pointer logits_filter_callback;
-
-    /**
-     * User data for the logits_filter_callback.
-     */
-    public Pointer logits_filter_callback_user_data;
-
-
-    public void setNewSegmentCallback(WhisperNewSegmentCallback callback) {
-        new_segment_callback = CallbackReference.getFunctionPointer(callback);
-    }
-
-    public void setProgressCallback(WhisperProgressCallback callback) {
-        progress_callback = CallbackReference.getFunctionPointer(callback);
-    }
-
-    public void setEncoderBeginCallbackeginCallbackCallback(WhisperEncoderBeginCallback callback) {
-        encoder_begin_callback = CallbackReference.getFunctionPointer(callback);
-    }
-
-    public void setLogitsFilterCallback(WhisperLogitsFilterCallback callback) {
-        logits_filter_callback = CallbackReference.getFunctionPointer(callback);
-    }
-
-    /** Grammar stuff */
-    public Pointer grammar_rules;
-    public long n_grammar_rules;
-    public long i_start_rule;
-    public float grammar_penalty;
-
-    @Override
-    protected List<String> getFieldOrder() {
-        return Arrays.asList("strategy", "n_threads", "n_max_text_ctx",
-                "offset_ms", "duration_ms", "translate", "no_context",
-                "no_timestamps", "single_segment", "print_special",
-                "print_progress", "print_realtime", "print_timestamps",
-                "token_timestamps", "thold_pt", "thold_ptsum", "max_len",
-                "split_on_word", "max_tokens", "debug_mode", "audio_ctx", 
-                "tdrz_enable", "suppress_regex", "initial_prompt",
-                "prompt_tokens", "prompt_n_tokens", "language", "detect_language",
-                "suppress_blank", "suppress_nst", "temperature",
-                "max_initial_ts", "length_penalty", "temperature_inc",
-                "entropy_thold", "logprob_thold", "no_speech_thold", "greedy",
-                "beam_search", "new_segment_callback", "new_segment_callback_user_data",
-                "progress_callback", "progress_callback_user_data",
-                "encoder_begin_callback", "encoder_begin_callback_user_data",
-                "abort_callback", "abort_callback_user_data",
-                "logits_filter_callback", "logits_filter_callback_user_data",
-                "grammar_rules", "n_grammar_rules", "i_start_rule", "grammar_penalty");
-    }
-
-    public static class ByValue extends WhisperFullParams implements Structure.ByValue {
-        public ByValue() { super(); }
-        public ByValue(Pointer p) { super(p); }
-    }
-
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperHParams.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperHParams.java
@ -1,15 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-public class WhisperHParams {
-    int n_vocab       = 51864;
-    int n_audio_ctx   = 1500;
-    int n_audio_state = 384;
-    int n_audio_head  = 6;
-    int n_audio_layer = 4;
-    int n_text_ctx    = 448;
-    int n_text_state  = 384;
-    int n_text_head   = 6;
-    int n_text_layer  = 4;
-    int n_mels        = 80;
-    int ftype         = 1;
-}
--- a/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperSamplingStrategy.java
+++ b/bindings/java/src/main/java/io/github/ggerganov/whispercpp/params/WhisperSamplingStrategy.java
@ -1,10 +0,0 @@
-package io.github.ggerganov.whispercpp.params;
-
-/** Available sampling strategies */
-public enum WhisperSamplingStrategy {
-    /** similar to OpenAI's GreedyDecoder */
-    WHISPER_SAMPLING_GREEDY,
-
-    /** similar to OpenAI's BeamSearchDecoder */
-    WHISPER_SAMPLING_BEAM_SEARCH
-}
--- a/bindings/java/src/test/java/io/github/ggerganov/whispercpp/WhisperCppTest.java
+++ b/bindings/java/src/test/java/io/github/ggerganov/whispercpp/WhisperCppTest.java
@ -1,144 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import static org.junit.jupiter.api.Assertions.*;
-
-import io.github.ggerganov.whispercpp.bean.WhisperSegment;
-import io.github.ggerganov.whispercpp.params.CBool;
-import io.github.ggerganov.whispercpp.params.WhisperFullParams;
-import io.github.ggerganov.whispercpp.params.WhisperSamplingStrategy;
-import org.junit.jupiter.api.BeforeAll;
-import org.junit.jupiter.api.Test;
-import javax.sound.sampled.AudioInputStream;
-import javax.sound.sampled.AudioSystem;
-import java.io.File;
-import java.io.FileNotFoundException;
-import java.util.List;
-
-class WhisperCppTest {
-    private static WhisperCpp whisper = new WhisperCpp();
-    private static boolean modelInitialised = false;
-
-    @BeforeAll
-    static void init() throws FileNotFoundException {
-        // By default, models are loaded from ~/.cache/whisper/ and are usually named "ggml-${name}.bin"
-        // or you can provide the absolute path to the model file.
-        //String modelName = "../../models/ggml-tiny.bin";
-        String modelName = "../../models/ggml-tiny.en.bin";
-        try {
-            whisper.initContext(modelName);
-            //whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
-            //whisper.getJavaDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
-            modelInitialised = true;
-        } catch (FileNotFoundException ex) {
-            System.out.println("Model " + modelName + " not found");
-        }
-    }
-
-    @Test
-    void testGetDefaultFullParams_BeamSearch() {
-        // When
-        WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
-
-        // Then
-        assertEquals(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH.ordinal(), params.strategy);
-        assertNotEquals(0, params.n_threads);
-        assertEquals(16384, params.n_max_text_ctx);
-        assertFalse(params.translate);
-        assertEquals(0.01f, params.thold_pt);
-        assertEquals(5, params.beam_search.beam_size);
-        assertEquals(-1.0f, params.beam_search.patience);
-    }
-
-    @Test
-    void testGetDefaultFullParams_Greedy() {
-        // When
-        WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
-
-        // Then
-        assertEquals(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY.ordinal(), params.strategy);
-        assertNotEquals(0, params.n_threads);
-        assertEquals(16384, params.n_max_text_ctx);
-        assertEquals(5, params.greedy.best_of);
-    }
-
-    @Test
-    void testFullTranscribe() throws Exception {
-        if (!modelInitialised) {
-            System.out.println("Model not initialised, skipping test");
-            return;
-        }
-
-        // Given
-        File file = new File(System.getProperty("user.dir"), "../../samples/jfk.wav");
-        AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);
-
-        byte[] b = new byte[audioInputStream.available()];
-        float[] floats = new float[b.length / 2];
-
-        //WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
-        WhisperFullParams.ByValue params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
-        params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
-        params.print_progress = CBool.FALSE;
-        //params.initial_prompt = "and so my fellow Americans um, like";
-
-
-        try {
-            audioInputStream.read(b);
-
-            for (int i = 0, j = 0; i < b.length; i += 2, j++) {
-                int intSample = (int) (b[i + 1]) << 8 | (int) (b[i]) & 0xFF;
-                floats[j] = intSample / 32767.0f;
-            }
-
-            // When
-            String result = whisper.fullTranscribe(params, floats);
-
-            // Then
-            System.err.println(result);
-            assertEquals("And so my fellow Americans ask not what your country can do for you " +
-                    "ask what you can do for your country.",
-                    result.replace(",", ""));
-        } finally {
-            audioInputStream.close();
-        }
-    }
-
-    @Test
-    void testFullTranscribeWithTime() throws Exception {
-        if (!modelInitialised) {
-            System.out.println("Model not initialised, skipping test");
-            return;
-        }
-
-        // Given
-        File file = new File(System.getProperty("user.dir"), "../../samples/jfk.wav");
-        AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);
-
-        byte[] b = new byte[audioInputStream.available()];
-        float[] floats = new float[b.length / 2];
-
-        //WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_GREEDY);
-        WhisperFullParams params = whisper.getFullDefaultParams(WhisperSamplingStrategy.WHISPER_SAMPLING_BEAM_SEARCH);
-        params.setProgressCallback((ctx, state, progress, user_data) -> System.out.println("progress: " + progress));
-        params.print_progress = CBool.FALSE;
-        //params.initial_prompt = "and so my fellow Americans um, like";
-
-        try {
-            audioInputStream.read(b);
-
-            for (int i = 0, j = 0; i < b.length; i += 2, j++) {
-                int intSample = (int) (b[i + 1]) << 8 | (int) (b[i]) & 0xFF;
-                floats[j] = intSample / 32767.0f;
-            }
-
-            List<WhisperSegment> segments = whisper.fullTranscribeWithTime(params, floats);
-            assertTrue(segments.size() > 0, "The size of segments should be greater than 0");
-            for (WhisperSegment segment : segments) {
-                System.out.println(segment);
-            }
-        } finally {
-            audioInputStream.close();
-        }
-    }
-
-}
--- a/bindings/java/src/test/java/io/github/ggerganov/whispercpp/WhisperJnaLibraryTest.java
+++ b/bindings/java/src/test/java/io/github/ggerganov/whispercpp/WhisperJnaLibraryTest.java
@ -1,17 +0,0 @@
-package io.github.ggerganov.whispercpp;
-
-import static org.junit.jupiter.api.Assertions.*;
-
-import org.junit.jupiter.api.Test;
-
-class WhisperJnaLibraryTest {
-
-    @Test
-    void testWhisperPrint_system_info() {
-        String systemInfo = WhisperCppJnaLibrary.instance.whisper_print_system_info();
-        // eg: "AVX = 1 | AVX2 = 1 | AVX512 = 0 | FMA = 1 | NEON = 0 | ARM_FMA = 0 | F16C = 1 | FP16_VA = 0
-        //    | WASM_SIMD = 0 | BLAS = 0 | SSE3 = 1 | VSX = 0 | COREML = 0 | "
-        System.out.println("System info: " + systemInfo);
-        assertTrue(systemInfo.length() > 10);
-    }
-}
--- a/bindings/javascript/README.md
+++ b/bindings/javascript/README.md
@ -33,9 +33,6 @@ mkdir build-em && cd build-em
 emcmake cmake .. && make -j

 # run test
-node ../tests/test-whisper.js
-
-# For Node.js versions prior to v16.4.0, experimental features need to be enabled:
 node --experimental-wasm-threads --experimental-wasm-simd ../tests/test-whisper.js

 # publish npm package
@ -44,7 +41,7 @@ make publish-npm

 ## Sample run

-```text
+```java
 $ node --experimental-wasm-threads --experimental-wasm-simd ../tests/test-whisper.js

 whisper_model_load: loading model from 'whisper.bin'
@ -66,7 +63,7 @@ whisper_model_load: ggml ctx size =  140.60 MB
 whisper_model_load: memory size   =   22.83 MB
 whisper_model_load: model size    =  140.54 MB

-system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | NEON = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 1 | BLAS = 0 |
+system_info: n_threads = 8 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | NEON = 0 | F16C = 0 | FP16_VA = 0 | WASM_SIMD = 1 | BLAS = 0 | 

 operator(): processing 176000 samples, 11.0 sec, 8 threads, 1 processors, lang = en, task = transcribe ...

--- a/bindings/javascript/emscripten.cpp
+++ b/bindings/javascript/emscripten.cpp
@ -20,7 +20,7 @@ struct whisper_context * g_context;
 EMSCRIPTEN_BINDINGS(whisper) {
    emscripten::function("init", emscripten::optional_override([](const std::string & path_model) {
        if (g_context == nullptr) {
-            g_context = whisper_init_from_file_with_params(path_model.c_str(), whisper_context_default_params());
+            g_context = whisper_init_from_file(path_model.c_str());
            if (g_context != nullptr) {
                return true;
            } else {
--- a/bindings/javascript/libwhisper.worker.js
+++ b/bindings/javascript/libwhisper.worker.js
@ -1 +1 @@
-"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:f=>(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f),postMessage:msg=>parentPort.postMessage(msg),performance:global.performance||{now:Date.now}})}var initializedJS=false;function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+"\n");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var module=Module["wasmModule"];Module["wasmModule"]=null;var instance=new WebAssembly.Instance(module,info);return receiveInstance(instance)};self.onunhandledrejection=e=>{throw e.reason||e};function handleMessage(e){try{if(e.data.cmd==="load"){let messageQueue=[];self.onmessage=e=>messageQueue.push(e);self.startWorker=instance=>{Module=instance;postMessage({"cmd":"loaded"});for(let msg of messageQueue){handleMessage(msg)}self.onmessage=handleMessage};Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=(...args)=>{postMessage({cmd:"callHandler",handler:handler,args:args})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}whisper_factory(Module)}else if(e.data.cmd==="run"){Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["__emscripten_thread_mailbox_await"](e.data.pthread_ptr);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){Module["__embind_initialize_bindings"]();initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){throw ex}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="checkMailbox"){if(initializedJS){Module["checkMailbox"]()}}else if(e.data.cmd){err(`worker.js received unknown command ${e.data.cmd}`);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}}self.onmessage=handleMessage;
+"use strict";var Module={};var ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof process.versions=="object"&&typeof process.versions.node=="string";if(ENVIRONMENT_IS_NODE){var nodeWorkerThreads=require("worker_threads");var parentPort=nodeWorkerThreads.parentPort;parentPort.on("message",data=>onmessage({data:data}));var fs=require("fs");Object.assign(global,{self:global,require:require,Module:Module,location:{href:__filename},Worker:nodeWorkerThreads.Worker,importScripts:function(f){(0,eval)(fs.readFileSync(f,"utf8")+"//# sourceURL="+f)},postMessage:function(msg){parentPort.postMessage(msg)},performance:global.performance||{now:function(){return Date.now()}}})}var initializedJS=false;var pendingNotifiedProxyingQueues=[];function threadPrintErr(){var text=Array.prototype.slice.call(arguments).join(" ");if(ENVIRONMENT_IS_NODE){fs.writeSync(2,text+"\n");return}console.error(text)}function threadAlert(){var text=Array.prototype.slice.call(arguments).join(" ");postMessage({cmd:"alert",text:text,threadId:Module["_pthread_self"]()})}var err=threadPrintErr;self.alert=threadAlert;Module["instantiateWasm"]=(info,receiveInstance)=>{var instance=new WebAssembly.Instance(Module["wasmModule"],info);receiveInstance(instance);Module["wasmModule"]=null;return instance.exports};self.onunhandledrejection=e=>{throw e.reason??e};self.onmessage=e=>{try{if(e.data.cmd==="load"){Module["wasmModule"]=e.data.wasmModule;for(const handler of e.data.handlers){Module[handler]=function(){postMessage({cmd:"callHandler",handler:handler,args:[...arguments]})}}Module["wasmMemory"]=e.data.wasmMemory;Module["buffer"]=Module["wasmMemory"].buffer;Module["ENVIRONMENT_IS_PTHREAD"]=true;if(typeof e.data.urlOrBlob=="string"){importScripts(e.data.urlOrBlob)}else{var objectUrl=URL.createObjectURL(e.data.urlOrBlob);importScripts(objectUrl);URL.revokeObjectURL(objectUrl)}whisper_factory(Module).then(function(instance){Module=instance})}else if(e.data.cmd==="run"){Module["__performance_now_clock_drift"]=performance.now()-e.data.time;Module["__emscripten_thread_init"](e.data.pthread_ptr,0,0,1);Module["establishStackSpace"]();Module["PThread"].receiveObjectTransfer(e.data);Module["PThread"].threadInitTLS();if(!initializedJS){Module["__embind_initialize_bindings"]();pendingNotifiedProxyingQueues.forEach(queue=>{Module["executeNotifiedProxyingQueue"](queue)});pendingNotifiedProxyingQueues=[];initializedJS=true}try{Module["invokeEntryPoint"](e.data.start_routine,e.data.arg)}catch(ex){if(ex!="unwind"){if(ex instanceof Module["ExitStatus"]){if(Module["keepRuntimeAlive"]()){}else{Module["__emscripten_thread_exit"](ex.status)}}else{throw ex}}}}else if(e.data.cmd==="cancel"){if(Module["_pthread_self"]()){Module["__emscripten_thread_exit"](-1)}}else if(e.data.target==="setimmediate"){}else if(e.data.cmd==="processProxyingQueue"){if(initializedJS){Module["executeNotifiedProxyingQueue"](e.data.queue)}else{pendingNotifiedProxyingQueues.push(e.data.queue)}}else if(e.data.cmd){err("worker.js received unknown command "+e.data.cmd);err(e.data)}}catch(ex){if(Module["__emscripten_thread_crashed"]){Module["__emscripten_thread_crashed"]()}throw ex}};
--- a/bindings/javascript/package.json
+++ b/bindings/javascript/package.json
@ -1,6 +1,6 @@
 {
  "name": "whisper.cpp",
-  "version": "1.7.4",
+  "version": "1.2.0",
  "description": "Whisper speech recognition",
  "main": "whisper.js",
  "scripts": {
--- a/bindings/javascript/whisper.js
+++ b/bindings/javascript/whisper.js
--- a/bindings/ruby/.gitignore
+++ b/bindings/ruby/.gitignore
@ -1,3 +0,0 @@
-LICENSE
-pkg/
-lib/whisper.*
--- a/bindings/ruby/README.md
+++ b/bindings/ruby/README.md
@ -1,245 +0,0 @@
-whispercpp
-==========
-
-![whisper.cpp](https://user-images.githubusercontent.com/1991296/235238348-05d0f6a4-da44-4900-a1de-d0707e75b763.jpeg)
-
-Ruby bindings for [whisper.cpp][], an interface of automatic speech recognition model.
-
-Installation
------------
-
-Install the gem and add to the application's Gemfile by executing:
-
-    $ bundle add whispercpp
-
-If bundler is not being used to manage dependencies, install the gem by executing:
-
-    $ gem install whispercpp
-
-Usage
-----
-
-```ruby
-require "whisper"
-
-whisper = Whisper::Context.new("base")
-
-params = Whisper::Params.new(
-  language: "en",
-  offset: 10_000,
-  duration: 60_000,
-  max_text_tokens: 300,
-  translate: true,
-  print_timestamps: false,
-  initial_prompt: "Initial prompt here."
-)
-
-whisper.transcribe("path/to/audio.wav", params) do |whole_text|
-  puts whole_text
-end
-
-```
-
-### Preparing model ###
-
-Some models are prepared up-front:
-
-```ruby
-base_en = Whisper::Model.pre_converted_models["base.en"]
-whisper = Whisper::Context.new(base_en)
-```
-
-At first time you use a model, it is downloaded automatically. After that, downloaded cached file is used. To clear cache, call `#clear_cache`:
-
-```ruby
-Whisper::Model.pre_converted_models["base"].clear_cache
-```
-
-You also can use shorthand for pre-converted models:
-
-```ruby
-whisper = Whisper::Context.new("base.en")
-```
-
-You can see the list of prepared model names by `Whisper::Model.pre_converted_models.keys`:
-
-```ruby
-puts Whisper::Model.pre_converted_models.keys
-# tiny
-# tiny.en
-# tiny-q5_1
-# tiny.en-q5_1
-# tiny-q8_0
-# base
-# base.en
-# base-q5_1
-# base.en-q5_1
-# base-q8_0
-#   :
-#   :
-```
-
-You can also use local model files you prepared:
-
-```ruby
-whisper = Whisper::Context.new("path/to/your/model.bin")
-```
-
-Or, you can download model files:
-
-```ruby
-whisper = Whisper::Context.new("https://example.net/uri/of/your/model.bin")
-# Or
-whisper = Whisper::Context.new(URI("https://example.net/uri/of/your/model.bin"))
-```
-
-See [models][] page for details.
-
-### Preparing audio file ###
-
-Currently, whisper.cpp accepts only 16-bit WAV files.
-
-API
---
-
-### Segments ###
-
-Once `Whisper::Context#transcribe` called, you can retrieve segments by `#each_segment`:
-
-```ruby
-def format_time(time_ms)
-  sec, decimal_part = time_ms.divmod(1000)
-  min, sec = sec.divmod(60)
-  hour, min = min.divmod(60)
-  "%02d:%02d:%02d.%03d" % [hour, min, sec, decimal_part]
-end
-
-whisper
-  .transcribe("path/to/audio.wav", params)
-  .each_segment.with_index do |segment, index|
-    line = "[%{nth}: %{st} --> %{ed}] %{text}" % {
-      nth: index + 1,
-      st: format_time(segment.start_time),
-      ed: format_time(segment.end_time),
-      text: segment.text
-    }
-    line << " (speaker turned)" if segment.speaker_next_turn?
-    puts line
-  end
-
-```
-
-You can also add hook to params called on new segment:
-
-```ruby
-# Add hook before calling #transcribe
-params.on_new_segment do |segment|
-  line = "[%{st} --> %{ed}] %{text}" % {
-    st: format_time(segment.start_time),
-    ed: format_time(segment.end_time),
-    text: segment.text
-  }
-  line << " (speaker turned)" if segment.speaker_next_turn?
-  puts line
-end
-
-whisper.transcribe("path/to/audio.wav", params)
-
-```
-
-### Models ###
-
-You can see model information:
-
-```ruby
-whisper = Whisper::Context.new("base")
-model = whisper.model
-
-model.n_vocab # => 51864
-model.n_audio_ctx # => 1500
-model.n_audio_state # => 512
-model.n_audio_head # => 8
-model.n_audio_layer # => 6
-model.n_text_ctx # => 448
-model.n_text_state # => 512
-model.n_text_head # => 8
-model.n_text_layer # => 6
-model.n_mels # => 80
-model.ftype # => 1
-model.type # => "base"
-
-```
-
-### Logging ###
-
-You can set log callback:
-
-```ruby
-prefix = "[MyApp] "
-log_callback = ->(level, buffer, user_data) {
-  case level
-  when Whisper::LOG_LEVEL_NONE
-    puts "#{user_data}none: #{buffer}"
-  when Whisper::LOG_LEVEL_INFO
-    puts "#{user_data}info: #{buffer}"
-  when Whisper::LOG_LEVEL_WARN
-    puts "#{user_data}warn: #{buffer}"
-  when Whisper::LOG_LEVEL_ERROR
-    puts "#{user_data}error: #{buffer}"
-  when Whisper::LOG_LEVEL_DEBUG
-    puts "#{user_data}debug: #{buffer}"
-  when Whisper::LOG_LEVEL_CONT
-    puts "#{user_data}same to previous: #{buffer}"
-  end
-}
-Whisper.log_set log_callback, prefix
-```
-
-Using this feature, you are also able to suppress log:
-
-```ruby
-Whisper.log_set ->(level, buffer, user_data) {
-  # do nothing
-}, nil
-Whisper::Context.new("base")
-```
-
-### Low-level API to transcribe ###
-
-You can also call `Whisper::Context#full` and `#full_parallel` with a Ruby array as samples. Although `#transcribe` with audio file path is recommended because it extracts PCM samples in C++ and is fast, `#full` and `#full_parallel` give you flexibility.
-
-```ruby
-require "whisper"
-require "wavefile"
-
-reader = WaveFile::Reader.new("path/to/audio.wav", WaveFile::Format.new(:mono, :float, 16000))
-samples = reader.enum_for(:each_buffer).map(&:samples).flatten
-
-whisper = Whisper::Context.new("base")
-whisper
-  .full(Whisper::Params.new, samples)
-  .each_segment do |segment|
-    puts segment.text
-  end
-```
-
-The second argument `samples` may be an array, an object with `length` and `each` method, or a MemoryView. If you can prepare audio data as C array and export it as a MemoryView, whispercpp accepts and works with it with zero copy.
-
-Development
-----------
-
-    % git clone https://github.com/ggerganov/whisper.cpp.git
-    % cd whisper.cpp/bindings/ruby
-    % rake test
-
-First call of `rake test` builds an extension and downloads a model for testing. After that, you add tests in `tests` directory and modify `ext/ruby_whisper.cpp`.
-
-If something seems wrong on build, running `rake clean` solves some cases.
-
-License
-------
-
-The same to [whisper.cpp][].
-
-[whisper.cpp]: https://github.com/ggerganov/whisper.cpp
-[models]: https://github.com/ggerganov/whisper.cpp/tree/master/models
--- a/bindings/ruby/Rakefile
+++ b/bindings/ruby/Rakefile
@ -1,66 +0,0 @@
-require 'rake/clean'
-require "bundler/gem_tasks"
-require "rake/testtask"
-require_relative "extsources"
-
-SOURCES = FileList[]
-
-EXTSOURCES.each do |src|
-  basename = src.pathmap("%f")
-  dest = basename == "LICENSE" ? basename : src.pathmap("%{../..,ext}p")
-  dir = dest.pathmap("%d")
-  file src
-  directory dir
-  file dest => [src, dir] do |t|
-    cp t.source, t.name
-  end
-  SOURCES.include dest
-end
-
-CLEAN.include SOURCES
-CLEAN.include FileList["ext/**/*.o", "ext/**/*.metal", "ext/**/*.tmp", "ext/whisper.{so,bundle,dll}"]
-
-SRC = FileList["ext/*.{c,cpp,h}"]
-
-task build: SOURCES
-
-directory "pkg"
-CLOBBER.include "pkg"
-
-LIB_NAME = "whisper".ext(RbConfig::CONFIG["DLEXT"])
-SO_FILE = File.join("ext", LIB_NAME)
-LIB_FILE = File.join("lib", LIB_NAME)
-
-file "ext/Makefile" => SRC + ["ext/extconf.rb"] + SOURCES do |t|
-  chdir "ext" do
-    ruby "extconf.rb"
-  end
-end
-
-file SO_FILE => "ext/Makefile" do |t|
-  chdir "ext" do
-    sh "make"
-  end
-end
-CLEAN.include SO_FILE
-
-directory "lib"
-file LIB_FILE => [SO_FILE, "lib"] do |t|
-  copy t.source, t.name
-end
-CLEAN.include LIB_FILE
-
-Rake::TestTask.new do |t|
-  t.test_files = FileList["tests/test_*.rb"]
-end
-
-TEST_MEMORY_VIEW = "tests/jfk_reader/jfk_reader.#{RbConfig::CONFIG['DLEXT']}"
-file TEST_MEMORY_VIEW => "tests/jfk_reader/jfk_reader.c" do |t|
-  chdir "tests/jfk_reader" do
-    ruby "extconf.rb"
-    sh "make"
-  end
-end
-CLEAN.include "tests/jfk_reader/jfk_reader.{o,#{RbConfig::CONFIG['DLEXT']}}"
-
-task test: [LIB_FILE, TEST_MEMORY_VIEW]
--- a/bindings/ruby/ext/.gitignore
+++ b/bindings/ruby/ext/.gitignore
@ -1,11 +1,7 @@
 Makefile
-whisper.so
+ggml.c
+ggml.h
 whisper.bundle
-whisper.dll
-scripts/get-flags.mk
-*.o
-/*/**/*.c
-/*/**/*.cpp
-/*/**/*.h
-/*/**/*.m
-/*/**/*.metal
+whisper.cpp
+whisper.h
+dr_wav.h
--- a/bindings/ruby/ext/cpu.mk
+++ b/bindings/ruby/ext/cpu.mk
@ -1,13 +0,0 @@
-ggml/src/ggml-cpu/ggml-cpu-cpp.o: \
-	ggml/src/ggml-cpu/ggml-cpu.cpp \
-	ggml/src/ggml-cpu/unary-ops.cpp \
-	ggml/src/ggml-cpu/binary-ops.cpp \
-	ggml/src/ggml-cpu/vec.cpp \
-	ggml/src/ggml-cpu/ops.cpp \
-	ggml/include/ggml-backend.h \
-	ggml/include/ggml.h \
-	ggml/include/ggml-alloc.h \
-	ggml/src/ggml-backend-impl.h \
-	ggml/include/ggml-cpu.h \
-	ggml/src/ggml-impl.h
-	$(CXX) $(CXXFLAGS)   -c $< -o $@
--- a/bindings/ruby/ext/extconf.rb
+++ b/bindings/ruby/ext/extconf.rb
@ -1,10 +1,13 @@
 require 'mkmf'
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.cpp')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','whisper.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.h')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','ggml.c')} .")
+system("cp #{File.join(File.dirname(__FILE__),'..','..','..','examples','dr_wav.h')} .")
+

 # need to use c++ compiler flags
-$CXXFLAGS << ' -std=c++17'
-
-$LDFLAGS << ' -lstdc++'
-
+$CXXFLAGS << ' -std=c++11'
 # Set to true when building binary gems
 if enable_config('static-stdlib', false)
  $LDFLAGS << ' -static-libgcc -static-libstdc++'
@ -15,198 +18,4 @@ if enable_config('march-tune-native', false)
  $CXXFLAGS << ' -march=native -mtune=native'
 end

-if ENV['WHISPER_METAL']
-  $GGML_METAL ||= true
-  $DEPRECATE_WARNING ||= true
-end
-
-$UNAME_S = `uname -s`.chomp
-$UNAME_P = `uname -p`.chomp
-$UNAME_M = `uname -m`.chomp
-
-if $UNAME_S == 'Darwin'
-  unless ENV['GGML_NO_METAL']
-    $GGML_METAL ||= true
-  end
-  $GGML_NO_OPENMP ||= true
-end
-
-if $GGML_METAL
-  $GGML_METAL_EMBED_LIBRARY = true
-end
-
-$MK_CPPFLAGS = '-Iggml/include -Iggml/src -Iggml/src/ggml-cpu -Iinclude -Isrc -Iexamples -DGGML_USE_CPU'
-$MK_CFLAGS   = '-std=c11   -fPIC'
-$MK_CXXFLAGS = '-std=c++17 -fPIC'
-$MK_NVCCFLAGS = '-std=c++17'
-$MK_LDFLAGS = ''
-
-$OBJ_GGML = []
-$OBJ_WHISPER = []
-$OBJ_COMMON = []
-$OBJ_SDL = []
-
-$MK_CPPFLAGS << ' -D_XOPEN_SOURCE=600'
-
-if $UNAME_S == 'Linux'
-  $MK_CPPFLAGS << ' -D_GNU_SOURCE'
-end
-
-if $UNAME_S == 'Darwin'
-  $MK_CPPFLAGS << ' -D_DARWIN_C_SOURCE'
-end
-
-if ENV['WHISPER_DEBUG']
-  $MK_CFLAGS    << ' -O0 -g'
-  $MK_CXXFLAGS  << ' -O0 -g'
-  $MK_LDFLAGS   << ' -g'
-  $MK_NVCCFLAGS << ' -O0 -g'
-else
-  $MK_CPPFLAGS   << ' -DNDEBUG'
-  $MK_CFLAGS     << ' -O3'
-  $MK_CXXFLAGS   << ' -O3'
-  $MK_NVCCFLAGS  << ' -O3'
-end
-
-$WARN_FLAGS =
-  ' -Wall' <<
-  ' -Wextra' <<
-  ' -Wpedantic' <<
-  ' -Wcast-qual' <<
-  ' -Wno-unused-function'
-
-$MK_CFLAGS <<
-  $WARN_FLAGS <<
-  ' -Wshadow' <<
-  ' -Wstrict-prototypes' <<
-  ' -Wpointer-arith' <<
-  ' -Wmissing-prototypes' <<
-  ' -Werror=implicit-int' <<
-  ' -Werror=implicit-function-declaration'
-
-$MK_CXXFLAGS <<
-  $WARN_FLAGS <<
-  ' -Wmissing-declarations' <<
-  ' -Wmissing-noreturn'
-
-unless `#{cc_command} #{$LDFLAGS} -Wl,-v 2>&1`.chomp.include? 'dyld-1015.7'
-  $MK_CPPFLAGS << ' -DHAVE_BUGGY_APPLE_LINKER'
-end
-
-if %w[Linux Darwin FreeBSD NetBSD OpenBSD Haiku].include? $UNAME_S
-  $MK_CFLAGS   << ' -pthread'
-  $MK_CXXFLAGS << ' -pthread'
-end
-
-unless $_WIN32
-  $DSO_EXT = '.so'
-else
-  $DSO_EXT = '.dll'
-end
-
-unless ENV['RISCV']
-  if %w[x86_64 i686 amd64].include? $UNAME_M
-    $HOST_CXXFLAGS ||= ''
-
-    $MK_CFLAGS     << ' -march=native -mtune=native'
-    $HOST_CXXFLAGS << ' -march=native -mtune=native'
-  end
-else
-  $MK_CFLAGS   << ' -march=rv64gcv -mabi=lp64d'
-  $MK_CXXFLAGS << ' -march=rv64gcv -mabi=lp64d'
-end
-
-unless ENV['GGML_NO_ACCELERATE']
-  if $UNAME_S == 'Darwin'
-    $MK_CPPFLAGS << ' -DGGML_USE_ACCELERATE -DGGML_USE_BLAS -DGGML_BLAS_USE_ACCELERATE'
-    $MK_CPPFLAGS << ' -DACCELERATE_NEW_LAPACK'
-    $MK_CPPFLAGS << ' -DACCELERATE_LAPACK_ILP64'
-    $MK_LDFLAGS  << ' -framework Accelerate'
-    $OBJ_GGML    << 'ggml/src/ggml-blas/ggml-blas.o'
-  end
-end
-
-if ENV['GGML_OPENBLAS']
-  $MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas`.chomp}"
-  $MK_CFLAGS   << " #{`pkg-config --cflags-only-other openblas)`.chomp}"
-  $MK_LDFLAGS  << " #{`pkg-config --libs openblas`}"
-  $OBJ_GGML    << 'ggml/src/ggml-blas/ggml-blas.o'
-end
-
-if ENV['GGML_OPENBLAS64']
-  $MK_CPPFLAGS << " -DGGML_USE_BLAS #{`pkg-config --cflags-only-I openblas64`.chomp}"
-  $MK_CFLAGS   << " #{`pkg-config --cflags-only-other openblas64)`.chomp}"
-  $MK_LDFLAGS  << " #{`pkg-config --libs openblas64`}"
-  $OBJ_GGML    << 'ggml/src/ggml-blas/ggml-blas.o'
-end
-
-if $GGML_METAL
-  $MK_CPPFLAGS << ' -DGGML_USE_METAL'
-  $MK_LDFLAGS  << ' -framework Foundation -framework Metal -framework MetalKit'
-  $OBJ_GGML    << 'ggml/src/ggml-metal/ggml-metal.o'
-
-  if ENV['GGML_METAL_NDEBUG']
-    $MK_CPPFLAGS << ' -DGGML_METAL_NDEBUG'
-  end
-
-  if $GGML_METAL_EMBED_LIBRARY
-    $MK_CPPFLAGS << ' -DGGML_METAL_EMBED_LIBRARY'
-    $OBJ_GGML    << 'ggml/src/ggml-metal/ggml-metal-embed.o'
-  end
-end
-
-$OBJ_GGML <<
-  'ggml/src/ggml.o' <<
-  'ggml/src/ggml-alloc.o' <<
-  'ggml/src/ggml-backend.o' <<
-  'ggml/src/ggml-backend-reg.o' <<
-  'ggml/src/ggml-opt.o' <<
-  'ggml/src/ggml-quants.o' <<
-  'ggml/src/ggml-threading.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu-cpp.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu-aarch64.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu-hbm.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu-quants.o' <<
-  'ggml/src/ggml-cpu/ggml-cpu-traits.o' <<
-  'ggml/src/ggml-cpu/unary-ops.o' <<
-  'ggml/src/ggml-cpu/binary-ops.o' <<
-  'ggml/src/ggml-cpu/vec.o' <<
-  'ggml/src/ggml-cpu/ops.o'
-
-$OBJ_WHISPER <<
-  'src/whisper.o' <<
-  'examples/common.o' <<
-  'examples/common-whisper.o'
-
-$objs = $OBJ_GGML + $OBJ_WHISPER + $OBJ_COMMON + $OBJ_SDL
-$objs <<
-  "ruby_whisper.o" <<
-  "ruby_whisper_context.o" <<
-  "ruby_whisper_transcribe.o" <<
-  "ruby_whisper_params.o" <<
-  "ruby_whisper_error.o" <<
-  "ruby_whisper_segment.o" <<
-  "ruby_whisper_model.o"
-
-$CPPFLAGS  = "#{$MK_CPPFLAGS} #{$CPPFLAGS}"
-$CFLAGS    = "#{$CPPFLAGS} #{$MK_CFLAGS} #{$GF_CFLAGS} #{$CFLAGS}"
-$BASE_CXXFLAGS = "#{$MK_CXXFLAGS} #{$CXXFLAGS}"
-$CXXFLAGS  = "#{$BASE_CXXFLAGS} #{$HOST_CXXFLAGS} #{$GF_CXXFLAGS} #{$CPPFLAGS}"
-$NVCCFLAGS = "#{$MK_NVCCFLAGS} #{$NVCCFLAGS}"
-$LDFLAGS   = "#{$MK_LDFLAGS} #{$LDFLAGS}"
-
 create_makefile('whisper')
-
-File.open 'Makefile', 'a' do |file|
-  file.puts 'include scripts/get-flags.mk'
-  file.puts 'include cpu.mk'
-
-  if $GGML_METAL
-    file.puts 'include metal.mk'
-
-    if $GGML_METAL_EMBED_LIBRARY
-      file.puts 'include metal-embed.mk'
-    end
-  end
-end
--- a/bindings/ruby/ext/metal-embed.mk
+++ b/bindings/ruby/ext/metal-embed.mk
@ -1,17 +0,0 @@
-ggml/src/ggml-metal/ggml-metal-embed.o: \
-	ggml/src/ggml-metal/ggml-metal.metal \
-	ggml/src/ggml-metal/ggml-metal-impl.h \
-	ggml/src/ggml-common.h
-	@echo "Embedding Metal library"
-	@sed -e '/__embed_ggml-common.h__/r      ggml/src/ggml-common.h'                -e '/__embed_ggml-common.h__/d'      < ggml/src/ggml-metal/ggml-metal.metal           > ggml/src/ggml-metal/ggml-metal-embed.metal.tmp
-	@sed -e '/#include "ggml-metal-impl.h"/r ggml/src/ggml-metal/ggml-metal-impl.h' -e '/#include "ggml-metal-impl.h"/d' < ggml/src/ggml-metal/ggml-metal-embed.metal.tmp > ggml/src/ggml-metal/ggml-metal-embed.metal
-	$(eval TEMP_ASSEMBLY=$(shell mktemp -d))
-	@echo ".section __DATA, __ggml_metallib"                       >  $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	@echo ".globl _ggml_metallib_start"                            >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	@echo "_ggml_metallib_start:"                                  >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	@echo ".incbin \"ggml/src/ggml-metal/ggml-metal-embed.metal\"" >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	@echo ".globl _ggml_metallib_end"                              >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	@echo "_ggml_metallib_end:"                                    >> $(TEMP_ASSEMBLY)/ggml-metal-embed.s
-	$(CC) $(CFLAGS) -c $(TEMP_ASSEMBLY)/ggml-metal-embed.s -o $@
-	@rm -f ${TEMP_ASSEMBLY}/ggml-metal-embed.s
-	@rmdir ${TEMP_ASSEMBLY}
--- a/bindings/ruby/ext/metal.mk
+++ b/bindings/ruby/ext/metal.mk
@ -1,6 +0,0 @@
-ggml/src/ggml-metal/ggml-metal.o: \
-	ggml/src/ggml-metal/ggml-metal.m \
-	ggml/src/ggml-metal/ggml-metal-impl.h \
-	ggml/include/ggml-metal.h \
-	ggml/include/ggml.h
-	$(CC) $(CFLAGS) -c $< -o $@
--- a/bindings/ruby/ext/ruby_whisper.c
+++ b/bindings/ruby/ext/ruby_whisper.c
@ -1,164 +0,0 @@
-#include <ruby.h>
-#include <ruby/memory_view.h>
-#include "ruby_whisper.h"
-
-VALUE mWhisper;
-VALUE cContext;
-VALUE cParams;
-VALUE eError;
-
-VALUE cSegment;
-VALUE cModel;
-
-ID id_to_s;
-ID id_call;
-ID id___method__;
-ID id_to_enum;
-ID id_length;
-ID id_next;
-ID id_new;
-ID id_to_path;
-ID id_URI;
-ID id_pre_converted_models;
-
-static bool is_log_callback_finalized = false;
-
-// High level API
-extern VALUE ruby_whisper_segment_allocate(VALUE klass);
-
-extern void init_ruby_whisper_context(VALUE *mWhisper);
-extern void init_ruby_whisper_params(VALUE *mWhisper);
-extern void init_ruby_whisper_error(VALUE *mWhisper);
-extern void init_ruby_whisper_segment(VALUE *mWhisper, VALUE *cSegment);
-extern void init_ruby_whisper_model(VALUE *mWhisper);
-extern void register_callbacks(ruby_whisper_params *rwp, VALUE *context);
-
-/*
- * call-seq:
- *   lang_max_id -> Integer
- */
-static VALUE ruby_whisper_s_lang_max_id(VALUE self) {
-  return INT2NUM(whisper_lang_max_id());
-}
-
-/*
- * call-seq:
- *   lang_id(lang_name) -> Integer
- */
-static VALUE ruby_whisper_s_lang_id(VALUE self, VALUE lang) {
-  const char * lang_str = StringValueCStr(lang);
-  const int id = whisper_lang_id(lang_str);
-  if (-1 == id) {
-    rb_raise(rb_eArgError, "language not found: %s", lang_str);
-  }
-  return INT2NUM(id);
-}
-
-/*
- * call-seq:
- *   lang_str(lang_id) -> String
- */
-static VALUE ruby_whisper_s_lang_str(VALUE self, VALUE id) {
-  const int lang_id = NUM2INT(id);
-  const char * str = whisper_lang_str(lang_id);
-  if (NULL == str) {
-    rb_raise(rb_eIndexError, "id %d outside of language id", lang_id);
-  }
-  return rb_str_new2(str);
-}
-
-/*
- * call-seq:
- *   lang_str(lang_id) -> String
- */
-static VALUE ruby_whisper_s_lang_str_full(VALUE self, VALUE id) {
-  const int lang_id = NUM2INT(id);
-  const char * str_full = whisper_lang_str_full(lang_id);
-  if (NULL == str_full) {
-    rb_raise(rb_eIndexError, "id %d outside of language id", lang_id);
-  }
-  return rb_str_new2(str_full);
-}
-
-static VALUE ruby_whisper_s_finalize_log_callback(VALUE self, VALUE id) {
-  is_log_callback_finalized = true;
-  return Qnil;
-}
-
-static void
-ruby_whisper_log_callback(enum ggml_log_level level, const char * buffer, void * user_data) {
-  if (is_log_callback_finalized) {
-    return;
-  }
-  VALUE log_callback = rb_iv_get(mWhisper, "log_callback");
-  VALUE udata = rb_iv_get(mWhisper, "user_data");
-  rb_funcall(log_callback, id_call, 3, INT2NUM(level), rb_str_new2(buffer), udata);
-}
-
-/*
- * call-seq:
- *   log_set ->(level, buffer, user_data) { ... }, user_data -> nil
- */
-static VALUE ruby_whisper_s_log_set(VALUE self, VALUE log_callback, VALUE user_data) {
-  VALUE old_callback = rb_iv_get(self, "log_callback");
-  if (!NIL_P(old_callback)) {
-    rb_undefine_finalizer(old_callback);
-  }
-
-  rb_iv_set(self, "log_callback", log_callback);
-  rb_iv_set(self, "user_data", user_data);
-
-  VALUE finalize_log_callback = rb_funcall(mWhisper, rb_intern("method"), 1, rb_str_new2("finalize_log_callback"));
-  rb_define_finalizer(log_callback, finalize_log_callback);
-
-  whisper_log_set(ruby_whisper_log_callback, NULL);
-
-  return Qnil;
-}
-
-static void rb_whisper_model_mark(ruby_whisper_model *rwm) {
-  rb_gc_mark(rwm->context);
-}
-
-static VALUE ruby_whisper_model_allocate(VALUE klass) {
-  ruby_whisper_model *rwm;
-  rwm = ALLOC(ruby_whisper_model);
-  return Data_Wrap_Struct(klass, rb_whisper_model_mark, RUBY_DEFAULT_FREE, rwm);
-}
-
-void Init_whisper() {
-  id_to_s = rb_intern("to_s");
-  id_call = rb_intern("call");
-  id___method__ = rb_intern("__method__");
-  id_to_enum = rb_intern("to_enum");
-  id_length = rb_intern("length");
-  id_next = rb_intern("next");
-  id_new = rb_intern("new");
-  id_to_path = rb_intern("to_path");
-  id_URI = rb_intern("URI");
-  id_pre_converted_models = rb_intern("pre_converted_models");
-
-  mWhisper = rb_define_module("Whisper");
-
-  rb_define_const(mWhisper, "LOG_LEVEL_NONE", INT2NUM(GGML_LOG_LEVEL_NONE));
-  rb_define_const(mWhisper, "LOG_LEVEL_INFO", INT2NUM(GGML_LOG_LEVEL_INFO));
-  rb_define_const(mWhisper, "LOG_LEVEL_WARN", INT2NUM(GGML_LOG_LEVEL_WARN));
-  rb_define_const(mWhisper, "LOG_LEVEL_ERROR", INT2NUM(GGML_LOG_LEVEL_ERROR));
-  rb_define_const(mWhisper, "LOG_LEVEL_DEBUG", INT2NUM(GGML_LOG_LEVEL_DEBUG));
-  rb_define_const(mWhisper, "LOG_LEVEL_CONT", INT2NUM(GGML_LOG_LEVEL_CONT));
-
-  rb_define_singleton_method(mWhisper, "lang_max_id", ruby_whisper_s_lang_max_id, 0);
-  rb_define_singleton_method(mWhisper, "lang_id", ruby_whisper_s_lang_id, 1);
-  rb_define_singleton_method(mWhisper, "lang_str", ruby_whisper_s_lang_str, 1);
-  rb_define_singleton_method(mWhisper, "lang_str_full", ruby_whisper_s_lang_str_full, 1);
-  rb_define_singleton_method(mWhisper, "log_set", ruby_whisper_s_log_set, 2);
-  rb_define_private_method(rb_singleton_class(mWhisper), "finalize_log_callback", ruby_whisper_s_finalize_log_callback, 1);
-
-  init_ruby_whisper_context(&mWhisper);
-  init_ruby_whisper_params(&mWhisper);
-  init_ruby_whisper_error(&mWhisper);
-  init_ruby_whisper_segment(&mWhisper, &cContext);
-  init_ruby_whisper_model(&mWhisper);
-
-  rb_require("whisper/model/uri");
-}
--- a/bindings/ruby/ext/ruby_whisper.cpp
+++ b/bindings/ruby/ext/ruby_whisper.cpp
@ -0,0 +1,426 @@
+#include <ruby.h>
+#include "ruby_whisper.h"
+#define DR_WAV_IMPLEMENTATION
+#include "dr_wav.h"
+#include <cmath>
+#include <fstream>
+#include <cstdio>
+#include <string>
+#include <thread>
+#include <vector>
+
+#ifdef __cplusplus
+extern "C" {
+#endif
+
+#define BOOL_PARAMS_SETTER(self, prop, value) \
+  ruby_whisper_params *rwp; \
+  Data_Get_Struct(self, ruby_whisper_params, rwp); \
+  if (value == Qfalse || value == Qnil) { \
+    rwp->params.prop = false; \
+  } else { \
+    rwp->params.prop = true; \
+  } \
+  return value; \
+
+#define BOOL_PARAMS_GETTER(self,  prop) \
+  ruby_whisper_params *rwp; \
+  Data_Get_Struct(self, ruby_whisper_params, rwp); \
+  if (rwp->params.prop) { \
+    return Qtrue; \
+  } else { \
+    return Qfalse; \
+  }
+
+VALUE mWhisper;
+VALUE cContext;
+VALUE cParams;
+
+static void ruby_whisper_free(ruby_whisper *rw) {
+  if (rw->context) {
+    whisper_free(rw->context);
+    rw->context = NULL;
+  }
+}
+static void ruby_whisper_params_free(ruby_whisper_params *rwp) {
+}
+
+void rb_whisper_mark(ruby_whisper *rw) {
+  // call rb_gc_mark on any ruby references in rw
+}
+
+void rb_whisper_free(ruby_whisper *rw) {
+  ruby_whisper_free(rw);
+  free(rw);
+}
+
+void rb_whisper_params_mark(ruby_whisper_params *rwp) {
+}
+
+void rb_whisper_params_free(ruby_whisper_params *rwp) {
+  ruby_whisper_params_free(rwp);
+  free(rwp);
+}
+
+static VALUE ruby_whisper_allocate(VALUE klass) {
+  ruby_whisper *rw;
+  rw = ALLOC(ruby_whisper);
+  rw->context = NULL;
+  return Data_Wrap_Struct(klass, rb_whisper_mark, rb_whisper_free, rw);
+}
+
+static VALUE ruby_whisper_params_allocate(VALUE klass) {
+  ruby_whisper_params *rwp;
+  rwp = ALLOC(ruby_whisper_params);
+  rwp->params = whisper_full_default_params(WHISPER_SAMPLING_GREEDY);
+  return Data_Wrap_Struct(klass, rb_whisper_params_mark, rb_whisper_params_free, rwp);
+}
+
+static VALUE ruby_whisper_initialize(int argc, VALUE *argv, VALUE self) {
+  ruby_whisper *rw;
+  VALUE whisper_model_file_path;
+
+  // TODO: we can support init from buffer here too maybe another ruby object to expose
+  rb_scan_args(argc, argv, "01", &whisper_model_file_path);
+  Data_Get_Struct(self, ruby_whisper, rw);
+
+  if (!rb_respond_to(whisper_model_file_path, rb_intern("to_s"))) {
+    rb_raise(rb_eRuntimeError, "Expected file path to model to initialize Whisper::Context");
+  }
+  rw->context = whisper_init_from_file(StringValueCStr(whisper_model_file_path));
+  if (rw->context == nullptr) {
+    rb_raise(rb_eRuntimeError, "error: failed to initialize whisper context");
+  }
+  return self;
+}
+
+/*
+ * transcribe a single file
+ * can emit to a block results
+ *
+ **/
+static VALUE ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self) {
+  ruby_whisper *rw;
+  ruby_whisper_params *rwp;
+  VALUE wave_file_path, blk, params;
+
+  rb_scan_args(argc, argv, "02&", &wave_file_path, &params, &blk);
+  Data_Get_Struct(self, ruby_whisper, rw);
+  Data_Get_Struct(params, ruby_whisper_params, rwp);
+
+  if (!rb_respond_to(wave_file_path, rb_intern("to_s"))) {
+    rb_raise(rb_eRuntimeError, "Expected file path to wave file");
+  }
+
+  std::string fname_inp = StringValueCStr(wave_file_path);
+
+  std::vector<float> pcmf32; // mono-channel F32 PCM
+  std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
+
+  // WAV input - this is directly from main.cpp example
+  {
+    drwav wav;
+    std::vector<uint8_t> wav_data; // used for pipe input from stdin
+
+    if (fname_inp == "-") {
+      {
+        uint8_t buf[1024];
+        while (true) {
+          const size_t n = fread(buf, 1, sizeof(buf), stdin);
+          if (n == 0) {
+            break;
+          }
+          wav_data.insert(wav_data.end(), buf, buf + n);
+        }
+      }
+
+      if (drwav_init_memory(&wav, wav_data.data(), wav_data.size(), nullptr) == false) {
+        fprintf(stderr, "error: failed to open WAV file from stdin\n");
+        return self;
+      }
+
+      fprintf(stderr, "%s: read %zu bytes from stdin\n", __func__, wav_data.size());
+    } else if (drwav_init_file(&wav, fname_inp.c_str(), nullptr) == false) {
+      fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (wav.channels != 1 && wav.channels != 2) {
+      fprintf(stderr, "WAV file '%s' must be mono or stereo\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (rwp->diarize && wav.channels != 2 && rwp->params.print_timestamps == false) {
+      fprintf(stderr, "WAV file '%s' must be stereo for diarization and timestamps have to be enabled\n", fname_inp.c_str());
+      return self;
+    }
+
+    if (wav.sampleRate != WHISPER_SAMPLE_RATE) {
+      fprintf(stderr, "WAV file '%s' must be %i kHz\n", fname_inp.c_str(), WHISPER_SAMPLE_RATE/1000);
+      return self;
+    }
+
+    if (wav.bitsPerSample != 16) {
+      fprintf(stderr, "WAV file '%s' must be 16-bit\n", fname_inp.c_str());
+      return self;
+    }
+
+    const uint64_t n = wav_data.empty() ? wav.totalPCMFrameCount : wav_data.size()/(wav.channels*wav.bitsPerSample/8);
+
+    std::vector<int16_t> pcm16;
+    pcm16.resize(n*wav.channels);
+    drwav_read_pcm_frames_s16(&wav, n, pcm16.data());
+    drwav_uninit(&wav);
+
+    // convert to mono, float
+    pcmf32.resize(n);
+    if (wav.channels == 1) {
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32[i] = float(pcm16[i])/32768.0f;
+      }
+    } else {
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32[i] = float(pcm16[2*i] + pcm16[2*i + 1])/65536.0f;
+      }
+    }
+
+    if (rwp->diarize) {
+      // convert to stereo, float
+      pcmf32s.resize(2);
+
+      pcmf32s[0].resize(n);
+      pcmf32s[1].resize(n);
+      for (uint64_t i = 0; i < n; i++) {
+        pcmf32s[0][i] = float(pcm16[2*i])/32768.0f;
+        pcmf32s[1][i] = float(pcm16[2*i + 1])/32768.0f;
+      }
+    }
+  }
+  {
+    static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
+
+    rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, void * user_data) {
+      bool is_aborted = *(bool*)user_data;
+      return !is_aborted;
+    };
+    rwp->params.encoder_begin_callback_user_data = &is_aborted;
+  }
+
+  if (whisper_full_parallel(rw->context, rwp->params, pcmf32.data(), pcmf32.size(), 1) != 0) {
+    fprintf(stderr, "failed to process audio\n");
+    return self;
+  }
+  const int n_segments = whisper_full_n_segments(rw->context);
+  VALUE output = rb_str_new2("");
+  for (int i = 0; i < n_segments; ++i) {
+    const char * text = whisper_full_get_segment_text(rw->context, i);
+    output = rb_str_concat(output, rb_str_new2(text));
+  }
+  VALUE idCall = rb_intern("call");
+  if (blk != Qnil) {
+    rb_funcall(blk, idCall, 1, output);
+  }
+  return self;
+}
+
+/*
+ * params.language = "auto" | "en", etc...
+ */
+static VALUE ruby_whisper_params_set_language(VALUE self, VALUE value) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  if (value == Qfalse || value == Qnil) {
+    rwp->params.language = "auto";
+  } else {
+    rwp->params.language = StringValueCStr(value);
+  }
+  return value;
+}
+static VALUE ruby_whisper_params_get_language(VALUE self) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  if (rwp->params.language) {
+    return rb_str_new2(rwp->params.language);
+  } else {
+    return rb_str_new2("auto");
+  }
+}
+static VALUE ruby_whisper_params_set_translate(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, translate, value)
+}
+static VALUE ruby_whisper_params_get_translate(VALUE self) {
+  BOOL_PARAMS_GETTER(self, translate)
+}
+static VALUE ruby_whisper_params_set_no_context(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, no_context, value)
+}
+static VALUE ruby_whisper_params_get_no_context(VALUE self) {
+  BOOL_PARAMS_GETTER(self, no_context)
+}
+static VALUE ruby_whisper_params_set_single_segment(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, single_segment, value)
+}
+static VALUE ruby_whisper_params_get_single_segment(VALUE self) {
+  BOOL_PARAMS_GETTER(self, single_segment)
+}
+static VALUE ruby_whisper_params_set_print_special(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, print_special, value)
+}
+static VALUE ruby_whisper_params_get_print_special(VALUE self) {
+  BOOL_PARAMS_GETTER(self, print_special)
+}
+static VALUE ruby_whisper_params_set_print_progress(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, print_progress, value)
+}
+static VALUE ruby_whisper_params_get_print_progress(VALUE self) {
+  BOOL_PARAMS_GETTER(self, print_progress)
+}
+static VALUE ruby_whisper_params_set_print_realtime(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, print_realtime, value)
+}
+static VALUE ruby_whisper_params_get_print_realtime(VALUE self) {
+  BOOL_PARAMS_GETTER(self, print_realtime)
+}
+static VALUE ruby_whisper_params_set_print_timestamps(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, print_timestamps, value)
+}
+static VALUE ruby_whisper_params_get_print_timestamps(VALUE self) {
+  BOOL_PARAMS_GETTER(self, print_timestamps)
+}
+static VALUE ruby_whisper_params_set_suppress_blank(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, suppress_blank, value)
+}
+static VALUE ruby_whisper_params_get_suppress_blank(VALUE self) {
+  BOOL_PARAMS_GETTER(self, suppress_blank)
+}
+static VALUE ruby_whisper_params_set_suppress_non_speech_tokens(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, suppress_non_speech_tokens, value)
+}
+static VALUE ruby_whisper_params_get_suppress_non_speech_tokens(VALUE self) {
+  BOOL_PARAMS_GETTER(self, suppress_non_speech_tokens)
+}
+static VALUE ruby_whisper_params_get_token_timestamps(VALUE self) {
+  BOOL_PARAMS_GETTER(self, token_timestamps)
+}
+static VALUE ruby_whisper_params_set_token_timestamps(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, token_timestamps, value)
+}
+static VALUE ruby_whisper_params_get_split_on_word(VALUE self) {
+  BOOL_PARAMS_GETTER(self, split_on_word)
+}
+static VALUE ruby_whisper_params_set_split_on_word(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, split_on_word, value)
+}
+static VALUE ruby_whisper_params_get_speed_up(VALUE self) {
+  BOOL_PARAMS_GETTER(self, speed_up)
+}
+static VALUE ruby_whisper_params_set_speed_up(VALUE self, VALUE value) {
+  BOOL_PARAMS_SETTER(self, speed_up, value)
+}
+static VALUE ruby_whisper_params_get_diarize(VALUE self) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  if (rwp->diarize) {
+    return Qtrue;
+  } else {
+    return Qfalse;
+  }
+}
+static VALUE ruby_whisper_params_set_diarize(VALUE self, VALUE value) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  if (value == Qfalse || value == Qnil) {
+    rwp->diarize = false;
+  } else {
+    rwp->diarize = true;
+  } \
+  return value;
+}
+
+static VALUE ruby_whisper_params_get_offset(VALUE self) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  return INT2NUM(rwp->params.offset_ms);
+}
+static VALUE ruby_whisper_params_set_offset(VALUE self, VALUE value) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  rwp->params.offset_ms = NUM2INT(value);
+  return value;
+}
+static VALUE ruby_whisper_params_get_duration(VALUE self) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  return INT2NUM(rwp->params.duration_ms);
+}
+static VALUE ruby_whisper_params_set_duration(VALUE self, VALUE value) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  rwp->params.duration_ms = NUM2INT(value);
+  return value;
+}
+
+static VALUE ruby_whisper_params_get_max_text_tokens(VALUE self) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  return INT2NUM(rwp->params.n_max_text_ctx);
+}
+static VALUE ruby_whisper_params_set_max_text_tokens(VALUE self, VALUE value) {
+  ruby_whisper_params *rwp;
+  Data_Get_Struct(self, ruby_whisper_params, rwp);
+  rwp->params.n_max_text_ctx = NUM2INT(value);
+  return value;
+}
+
+void Init_whisper() {
+  mWhisper = rb_define_module("Whisper");
+  cContext = rb_define_class_under(mWhisper, "Context", rb_cObject);
+  cParams  = rb_define_class_under(mWhisper, "Params", rb_cObject);
+
+  rb_define_alloc_func(cContext, ruby_whisper_allocate);
+  rb_define_method(cContext, "initialize", ruby_whisper_initialize, -1);
+
+  rb_define_method(cContext, "transcribe", ruby_whisper_transcribe, -1);
+
+  rb_define_alloc_func(cParams, ruby_whisper_params_allocate);
+
+  rb_define_method(cParams, "language=", ruby_whisper_params_set_language, 1);
+  rb_define_method(cParams, "language", ruby_whisper_params_get_language, 0);
+  rb_define_method(cParams, "translate=", ruby_whisper_params_set_translate, 1);
+  rb_define_method(cParams, "translate", ruby_whisper_params_get_translate, 0);
+  rb_define_method(cParams, "no_context=", ruby_whisper_params_set_no_context, 1);
+  rb_define_method(cParams, "no_context", ruby_whisper_params_get_no_context, 0);
+  rb_define_method(cParams, "single_segment=", ruby_whisper_params_set_single_segment, 1);
+  rb_define_method(cParams, "single_segment", ruby_whisper_params_get_single_segment, 0);
+  rb_define_method(cParams, "print_special", ruby_whisper_params_get_print_special, 0);
+  rb_define_method(cParams, "print_special=", ruby_whisper_params_set_print_special, 1);
+  rb_define_method(cParams, "print_progress", ruby_whisper_params_get_print_progress, 0);
+  rb_define_method(cParams, "print_progress=", ruby_whisper_params_set_print_progress, 1);
+  rb_define_method(cParams, "print_realtime", ruby_whisper_params_get_print_realtime, 0);
+  rb_define_method(cParams, "print_realtime=", ruby_whisper_params_set_print_realtime, 1);
+  rb_define_method(cParams, "print_timestamps", ruby_whisper_params_get_print_timestamps, 0);
+  rb_define_method(cParams, "print_timestamps=", ruby_whisper_params_set_print_timestamps, 1);
+  rb_define_method(cParams, "suppress_blank", ruby_whisper_params_get_suppress_blank, 0);
+  rb_define_method(cParams, "suppress_blank=", ruby_whisper_params_set_suppress_blank, 1);
+  rb_define_method(cParams, "suppress_non_speech_tokens", ruby_whisper_params_get_suppress_non_speech_tokens, 0);
+  rb_define_method(cParams, "suppress_non_speech_tokens=", ruby_whisper_params_set_suppress_non_speech_tokens, 1);
+  rb_define_method(cParams, "token_timestamps", ruby_whisper_params_get_token_timestamps, 0);
+  rb_define_method(cParams, "token_timestamps=", ruby_whisper_params_set_token_timestamps, 1);
+  rb_define_method(cParams, "split_on_word", ruby_whisper_params_get_split_on_word, 0);
+  rb_define_method(cParams, "split_on_word=", ruby_whisper_params_set_split_on_word, 1);
+  rb_define_method(cParams, "speed_up", ruby_whisper_params_get_speed_up, 0);
+  rb_define_method(cParams, "speed_up=", ruby_whisper_params_set_speed_up, 1);
+  rb_define_method(cParams, "diarize", ruby_whisper_params_get_diarize, 0);
+  rb_define_method(cParams, "diarize=", ruby_whisper_params_set_diarize, 1);
+
+  rb_define_method(cParams, "offset", ruby_whisper_params_get_offset, 0);
+  rb_define_method(cParams, "offset=", ruby_whisper_params_set_offset, 1);
+  rb_define_method(cParams, "duration", ruby_whisper_params_get_duration, 0);
+  rb_define_method(cParams, "duration=", ruby_whisper_params_set_duration, 1);
+
+  rb_define_method(cParams, "max_text_tokens", ruby_whisper_params_get_max_text_tokens, 0);
+  rb_define_method(cParams, "max_text_tokens=", ruby_whisper_params_set_max_text_tokens, 1);
+}
+#ifdef __cplusplus
+}
+#endif
--- a/bindings/ruby/ext/ruby_whisper.h
+++ b/bindings/ruby/ext/ruby_whisper.h
@ -1,15 +1,8 @@
-#ifndef RUBY_WHISPER_H
-#define RUBY_WHISPER_H
+#ifndef __RUBY_WHISPER_H
+#define __RUBY_WHISPER_H

 #include "whisper.h"

-typedef struct {
-  VALUE *context;
-  VALUE user_data;
-  VALUE callback;
-  VALUE callbacks;
-} ruby_whisper_callback_container;
-
 typedef struct {
  struct whisper_context *context;
 } ruby_whisper;
@ -17,18 +10,6 @@ typedef struct {
 typedef struct {
  struct whisper_full_params params;
  bool diarize;
-  ruby_whisper_callback_container *new_segment_callback_container;
-  ruby_whisper_callback_container *progress_callback_container;
-  ruby_whisper_callback_container *abort_callback_container;
 } ruby_whisper_params;

-typedef struct {
-  VALUE context;
-  int index;
-} ruby_whisper_segment;
-
-typedef struct {
-  VALUE context;
-} ruby_whisper_model;
-
 #endif
--- a/bindings/ruby/ext/ruby_whisper_context.c
+++ b/bindings/ruby/ext/ruby_whisper_context.c
@ -1,613 +0,0 @@
-#include <ruby.h>
-#include <ruby/memory_view.h>
-#include "ruby_whisper.h"
-
-extern ID id_to_s;
-extern ID id___method__;
-extern ID id_to_enum;
-extern ID id_length;
-extern ID id_next;
-extern ID id_new;
-extern ID id_to_path;
-extern ID id_URI;
-extern ID id_pre_converted_models;
-
-extern VALUE cContext;
-extern VALUE eError;
-extern VALUE cModel;
-
-extern VALUE ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self);
-extern VALUE rb_whisper_model_initialize(VALUE context);
-extern VALUE rb_whisper_segment_initialize(VALUE context, int index);
-extern void register_callbacks(ruby_whisper_params *rwp, VALUE *context);
-
-static void
-ruby_whisper_free(ruby_whisper *rw)
-{
-  if (rw->context) {
-    whisper_free(rw->context);
-    rw->context = NULL;
-  }
-}
-
-void
-rb_whisper_mark(ruby_whisper *rw)
-{
-  // call rb_gc_mark on any ruby references in rw
-}
-
-void
-rb_whisper_free(ruby_whisper *rw)
-{
-  ruby_whisper_free(rw);
-  free(rw);
-}
-
-static VALUE
-ruby_whisper_allocate(VALUE klass)
-{
-  ruby_whisper *rw;
-  rw = ALLOC(ruby_whisper);
-  rw->context = NULL;
-  return Data_Wrap_Struct(klass, rb_whisper_mark, rb_whisper_free, rw);
-}
-
-/*
- * call-seq:
- *   new("base.en") -> Whisper::Context
- *   new("path/to/model.bin") -> Whisper::Context
- *   new(Whisper::Model::URI.new("https://example.net/uri/of/model.bin")) -> Whisper::Context
- */
-static VALUE
-ruby_whisper_initialize(int argc, VALUE *argv, VALUE self)
-{
-  ruby_whisper *rw;
-  VALUE whisper_model_file_path;
-
-  // TODO: we can support init from buffer here too maybe another ruby object to expose
-  rb_scan_args(argc, argv, "01", &whisper_model_file_path);
-  Data_Get_Struct(self, ruby_whisper, rw);
-
-  VALUE pre_converted_models = rb_funcall(cModel, id_pre_converted_models, 0);
-  VALUE pre_converted_model = rb_hash_aref(pre_converted_models, whisper_model_file_path);
-  if (!NIL_P(pre_converted_model)) {
-    whisper_model_file_path = pre_converted_model;
-  }
-  if (TYPE(whisper_model_file_path) == T_STRING) {
-    const char * whisper_model_file_path_str = StringValueCStr(whisper_model_file_path);
-    if (strncmp("http://", whisper_model_file_path_str, 7) == 0 || strncmp("https://", whisper_model_file_path_str, 8) == 0) {
-      VALUE uri_class = rb_const_get(cModel, id_URI);
-      whisper_model_file_path = rb_class_new_instance(1, &whisper_model_file_path, uri_class);
-    }
-  }
-  if (rb_obj_is_kind_of(whisper_model_file_path, rb_path2class("URI::HTTP"))) {
-    VALUE uri_class = rb_const_get(cModel, id_URI);
-    whisper_model_file_path = rb_class_new_instance(1, &whisper_model_file_path, uri_class);
-  }
-  if (rb_respond_to(whisper_model_file_path, id_to_path)) {
-    whisper_model_file_path = rb_funcall(whisper_model_file_path, id_to_path, 0);
-  }
-  if (!rb_respond_to(whisper_model_file_path, id_to_s)) {
-    rb_raise(rb_eRuntimeError, "Expected file path to model to initialize Whisper::Context");
-  }
-  rw->context = whisper_init_from_file_with_params(StringValueCStr(whisper_model_file_path), whisper_context_default_params());
-  if (rw->context == NULL) {
-    rb_raise(rb_eRuntimeError, "error: failed to initialize whisper context");
-  }
-  return self;
-}
-
-/*
- * call-seq:
- *   model_n_vocab -> Integer
- */
-VALUE ruby_whisper_model_n_vocab(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_vocab(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_audio_ctx -> Integer
- */
-VALUE ruby_whisper_model_n_audio_ctx(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_ctx(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_audio_state -> Integer
- */
-VALUE ruby_whisper_model_n_audio_state(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_state(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_audio_head -> Integer
- */
-VALUE ruby_whisper_model_n_audio_head(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_head(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_audio_layer -> Integer
- */
-VALUE ruby_whisper_model_n_audio_layer(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_layer(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_text_ctx -> Integer
- */
-VALUE ruby_whisper_model_n_text_ctx(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_ctx(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_text_state -> Integer
- */
-VALUE ruby_whisper_model_n_text_state(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_state(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_text_head -> Integer
- */
-VALUE ruby_whisper_model_n_text_head(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_head(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_text_layer -> Integer
- */
-VALUE ruby_whisper_model_n_text_layer(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_layer(rw->context));
-}
-
-/*
- * call-seq:
- *   model_n_mels -> Integer
- */
-VALUE ruby_whisper_model_n_mels(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_mels(rw->context));
-}
-
-/*
- * call-seq:
- *   model_ftype -> Integer
- */
-VALUE ruby_whisper_model_ftype(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_model_ftype(rw->context));
-}
-
-/*
- * call-seq:
- *   model_type -> String
- */
-VALUE ruby_whisper_model_type(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return rb_str_new2(whisper_model_type_readable(rw->context));
-}
-
-/*
- * Run the entire model: PCM -> log mel spectrogram -> encoder -> decoder -> text
- * Not thread safe for same context
- * Uses the specified decoding strategy to obtain the text.
- *
- * call-seq:
- *   full(params, samples, n_samples) -> nil
- *   full(params, samples) -> nil
- *
- * The second argument +samples+ must be an array of samples, respond to :length, or be a MemoryView of an array of float. It must be 32 bit float PCM audio data.
- */
-VALUE ruby_whisper_full(int argc, VALUE *argv, VALUE self)
-{
-  if (argc < 2 || argc > 3) {
-    rb_raise(rb_eArgError, "wrong number of arguments (given %d, expected 2..3)", argc);
-  }
-
-  ruby_whisper *rw;
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  VALUE params = argv[0];
-  Data_Get_Struct(params, ruby_whisper_params, rwp);
-  VALUE samples = argv[1];
-  int n_samples;
-  rb_memory_view_t view;
-  const bool memory_view_available_p = rb_memory_view_available_p(samples);
-  if (argc == 3) {
-    n_samples = NUM2INT(argv[2]);
-    if (TYPE(samples) == T_ARRAY) {
-      if (RARRAY_LEN(samples) < n_samples) {
-        rb_raise(rb_eArgError, "samples length %ld is less than n_samples %d", RARRAY_LEN(samples), n_samples);
-      }
-    }
-    // Should check when samples.respond_to?(:length)?
-  } else {
-    if (TYPE(samples) == T_ARRAY) {
-      n_samples = RARRAY_LEN(samples);
-    } else if (memory_view_available_p) {
-      if (!rb_memory_view_get(samples, &view, RUBY_MEMORY_VIEW_SIMPLE)) {
-        view.obj = Qnil;
-        rb_raise(rb_eArgError, "unable to get a memory view");
-      }
-      n_samples = view.byte_size / view.item_size;
-    } else if (rb_respond_to(samples, id_length)) {
-      n_samples = NUM2INT(rb_funcall(samples, id_length, 0));
-    } else {
-      rb_raise(rb_eArgError, "samples must respond to :length or be a MemoryView of an array of flaot when n_samples is not given");
-    }
-  }
-  float * c_samples = (float *)malloc(n_samples * sizeof(float));
-  if (memory_view_available_p)  {
-    c_samples = (float *)view.data;
-  } else {
-    if (TYPE(samples) == T_ARRAY) {
-      for (int i = 0; i < n_samples; i++) {
-        c_samples[i] = RFLOAT_VALUE(rb_ary_entry(samples, i));
-      }
-    } else {
-      // TODO: use rb_block_call
-      VALUE iter = rb_funcall(samples, id_to_enum, 1, rb_str_new2("each"));
-      for (int i = 0; i < n_samples; i++) {
-        // TODO: check if iter is exhausted and raise ArgumentError appropriately
-        VALUE sample = rb_funcall(iter, id_next, 0);
-        c_samples[i] = RFLOAT_VALUE(sample);
-      }
-    }
-  }
-  register_callbacks(rwp, &self);
-  const int result = whisper_full(rw->context, rwp->params, c_samples, n_samples);
-  if (0 == result) {
-    return self;
-  } else {
-    rb_exc_raise(rb_funcall(eError, id_new, 1, result));
-  }
-}
-
-/*
- * Split the input audio in chunks and process each chunk separately using whisper_full_with_state()
- * Result is stored in the default state of the context
- * Not thread safe if executed in parallel on the same context.
- * It seems this approach can offer some speedup in some cases.
- * However, the transcription accuracy can be worse at the beginning and end of each chunk.
- *
- * call-seq:
- *   full_parallel(params, samples) -> nil
- *   full_parallel(params, samples, n_samples) -> nil
- *   full_parallel(params, samples, n_samples, n_processors) -> nil
- *   full_parallel(params, samples, nil, n_processors) -> nil
- */
-static VALUE
-ruby_whisper_full_parallel(int argc, VALUE *argv,VALUE self)
-{
-  if (argc < 2 || argc > 4) {
-    rb_raise(rb_eArgError, "wrong number of arguments (given %d, expected 2..3)", argc);
-  }
-
-  ruby_whisper *rw;
-  ruby_whisper_params *rwp;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  VALUE params = argv[0];
-  Data_Get_Struct(params, ruby_whisper_params, rwp);
-  VALUE samples = argv[1];
-  int n_samples;
-  int n_processors;
-  rb_memory_view_t view;
-  const bool memory_view_available_p = rb_memory_view_available_p(samples);
-  switch (argc) {
-  case 2:
-    n_processors = 1;
-    break;
-  case 3:
-    n_processors = 1;
-    break;
-  case 4:
-    n_processors = NUM2INT(argv[3]);
-    break;
-  }
-  if (argc >= 3 && !NIL_P(argv[2])) {
-    n_samples = NUM2INT(argv[2]);
-    if (TYPE(samples) == T_ARRAY) {
-      if (RARRAY_LEN(samples) < n_samples) {
-        rb_raise(rb_eArgError, "samples length %ld is less than n_samples %d", RARRAY_LEN(samples), n_samples);
-      }
-    }
-    // Should check when samples.respond_to?(:length)?
-  } else if (memory_view_available_p) {
-    if (!rb_memory_view_get(samples, &view, RUBY_MEMORY_VIEW_SIMPLE)) {
-      view.obj = Qnil;
-      rb_raise(rb_eArgError, "unable to get a memory view");
-    }
-    n_samples = view.byte_size / view.item_size;
-  } else {
-    if (TYPE(samples) == T_ARRAY) {
-      n_samples = RARRAY_LEN(samples);
-    } else if (rb_respond_to(samples, id_length)) {
-      n_samples = NUM2INT(rb_funcall(samples, id_length, 0));
-    } else {
-      rb_raise(rb_eArgError, "samples must respond to :length or be a MemoryView of an array of flaot when n_samples is not given");
-    }
-  }
-  float * c_samples = (float *)malloc(n_samples * sizeof(float));
-  if (memory_view_available_p) {
-    c_samples = (float *)view.data;
-  } else {
-    if (TYPE(samples) == T_ARRAY) {
-      for (int i = 0; i < n_samples; i++) {
-        c_samples[i] = RFLOAT_VALUE(rb_ary_entry(samples, i));
-      }
-    } else {
-      // FIXME: use rb_block_call
-      VALUE iter = rb_funcall(samples, id_to_enum, 1, rb_str_new2("each"));
-      for (int i = 0; i < n_samples; i++) {
-        // TODO: check if iter is exhausted and raise ArgumentError
-        VALUE sample = rb_funcall(iter, id_next, 0);
-        c_samples[i] = RFLOAT_VALUE(sample);
-      }
-    }
-  }
-  register_callbacks(rwp, &self);
-  const int result = whisper_full_parallel(rw->context, rwp->params, c_samples, n_samples, n_processors);
-  if (0 == result) {
-    return self;
-  } else {
-    rb_exc_raise(rb_funcall(eError, id_new, 1, result));
-  }
-}
-
-/*
- * Number of segments.
- *
- * call-seq:
- *   full_n_segments -> Integer
- */
-static VALUE
-ruby_whisper_full_n_segments(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_full_n_segments(rw->context));
-}
-
-/*
- * Language ID, which can be converted to string by Whisper.lang_str and Whisper.lang_str_full.
- *
- * call-seq:
- *   full_lang_id -> Integer
- */
-static VALUE
-ruby_whisper_full_lang_id(VALUE self)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  return INT2NUM(whisper_full_lang_id(rw->context));
-}
-
-static int ruby_whisper_full_check_segment_index(const ruby_whisper * rw, const VALUE i_segment)
-{
-  const int c_i_segment = NUM2INT(i_segment);
-  if (c_i_segment < 0 || c_i_segment >= whisper_full_n_segments(rw->context)) {
-    rb_raise(rb_eIndexError, "segment index %d out of range", c_i_segment);
-  }
-  return c_i_segment;
-}
-
-/*
- * Start time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
- *
- *   full_get_segment_t0(3) # => 1668 (16680 ms)
- *
- * call-seq:
- *   full_get_segment_t0(segment_index) -> Integer
- */
-static VALUE
-ruby_whisper_full_get_segment_t0(VALUE self, VALUE i_segment)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
-  const int64_t t0 = whisper_full_get_segment_t0(rw->context, c_i_segment);
-  return INT2NUM(t0);
-}
-
-/*
- * End time of a segment indexed by +segment_index+ in centiseconds (10 times milliseconds).
- *
- *   full_get_segment_t1(3) # => 1668 (16680 ms)
- *
- * call-seq:
- *   full_get_segment_t1(segment_index) -> Integer
- */
-static VALUE
-ruby_whisper_full_get_segment_t1(VALUE self, VALUE i_segment)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
-  const int64_t t1 = whisper_full_get_segment_t1(rw->context, c_i_segment);
-  return INT2NUM(t1);
-}
-
-/*
- * Whether the next segment indexed by +segment_index+ is predicated as a speaker turn.
- *
- *   full_get_segment_speacker_turn_next(3) # => true
- *
- * call-seq:
- *   full_get_segment_speacker_turn_next(segment_index) -> bool
- */
-static VALUE
-ruby_whisper_full_get_segment_speaker_turn_next(VALUE self, VALUE i_segment)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
-  const bool speaker_turn_next = whisper_full_get_segment_speaker_turn_next(rw->context, c_i_segment);
-  return speaker_turn_next ? Qtrue : Qfalse;
-}
-
-/*
- * Text of a segment indexed by +segment_index+.
- *
- *   full_get_segment_text(3) # => "ask not what your country can do for you, ..."
- *
- * call-seq:
- *   full_get_segment_text(segment_index) -> String
- */
-static VALUE
-ruby_whisper_full_get_segment_text(VALUE self, VALUE i_segment)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
-  const char * text = whisper_full_get_segment_text(rw->context, c_i_segment);
-  return rb_str_new2(text);
-}
-
-/*
- * call-seq:
- *   full_get_segment_no_speech_prob(segment_index) -> Float
- */
-static VALUE
-ruby_whisper_full_get_segment_no_speech_prob(VALUE self, VALUE i_segment)
-{
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-  const int c_i_segment = ruby_whisper_full_check_segment_index(rw, i_segment);
-  const float no_speech_prob = whisper_full_get_segment_no_speech_prob(rw->context, c_i_segment);
-  return DBL2NUM(no_speech_prob);
-}
-
-// High level API
-
-static VALUE
-ruby_whisper_full_get_segment(VALUE self, VALUE i_segment)
-{
-  return rb_whisper_segment_initialize(self, NUM2INT(i_segment));
-}
-
-/*
- * Yields each Whisper::Segment:
- *
- *   whisper.transcribe("path/to/audio.wav", params)
- *   whisper.each_segment do |segment|
- *     puts segment.text
- *   end
- *
- * Returns an Enumerator if no block given:
- *
- *   whisper.transcribe("path/to/audio.wav", params)
- *   enum = whisper.each_segment
- *   enum.to_a # => [#<Whisper::Segment>, ...]
- *
- * call-seq:
- *   each_segment {|segment| ... }
- *   each_segment -> Enumerator
- */
-static VALUE
-ruby_whisper_each_segment(VALUE self)
-{
-  if (!rb_block_given_p()) {
-    const VALUE method_name = rb_funcall(self, id___method__, 0);
-    return rb_funcall(self, id_to_enum, 1, method_name);
-  }
-
-  ruby_whisper *rw;
-  Data_Get_Struct(self, ruby_whisper, rw);
-
-  const int n_segments = whisper_full_n_segments(rw->context);
-  for (int i = 0; i < n_segments; ++i) {
-    rb_yield(rb_whisper_segment_initialize(self, i));
-  }
-
-  return self;
-}
-
-/*
- * call-seq:
- *   model -> Whisper::Model
- */
-static VALUE
-ruby_whisper_get_model(VALUE self)
-{
-  return rb_whisper_model_initialize(self);
-}
-
-void
-init_ruby_whisper_context(VALUE *mWhisper)
-{
-  cContext = rb_define_class_under(*mWhisper, "Context", rb_cObject);
-
-  rb_define_alloc_func(cContext, ruby_whisper_allocate);
-  rb_define_method(cContext, "initialize", ruby_whisper_initialize, -1);
-
-  rb_define_method(cContext, "transcribe", ruby_whisper_transcribe, -1);
-  rb_define_method(cContext, "model_n_vocab", ruby_whisper_model_n_vocab, 0);
-  rb_define_method(cContext, "model_n_audio_ctx", ruby_whisper_model_n_audio_ctx, 0);
-  rb_define_method(cContext, "model_n_audio_state", ruby_whisper_model_n_audio_state, 0);
-  rb_define_method(cContext, "model_n_audio_head", ruby_whisper_model_n_audio_head, 0);
-  rb_define_method(cContext, "model_n_audio_layer", ruby_whisper_model_n_audio_layer, 0);
-  rb_define_method(cContext, "model_n_text_ctx", ruby_whisper_model_n_text_ctx, 0);
-  rb_define_method(cContext, "model_n_text_state", ruby_whisper_model_n_text_state, 0);
-  rb_define_method(cContext, "model_n_text_head", ruby_whisper_model_n_text_head, 0);
-  rb_define_method(cContext, "model_n_text_layer", ruby_whisper_model_n_text_layer, 0);
-  rb_define_method(cContext, "model_n_mels", ruby_whisper_model_n_mels, 0);
-  rb_define_method(cContext, "model_ftype", ruby_whisper_model_ftype, 0);
-  rb_define_method(cContext, "model_type", ruby_whisper_model_type, 0);
-  rb_define_method(cContext, "full_n_segments", ruby_whisper_full_n_segments, 0);
-  rb_define_method(cContext, "full_lang_id", ruby_whisper_full_lang_id, 0);
-  rb_define_method(cContext, "full_get_segment_t0", ruby_whisper_full_get_segment_t0, 1);
-  rb_define_method(cContext, "full_get_segment_t1", ruby_whisper_full_get_segment_t1, 1);
-  rb_define_method(cContext, "full_get_segment_speaker_turn_next", ruby_whisper_full_get_segment_speaker_turn_next, 1);
-  rb_define_method(cContext, "full_get_segment_text", ruby_whisper_full_get_segment_text, 1);
-  rb_define_method(cContext, "full_get_segment_no_speech_prob", ruby_whisper_full_get_segment_no_speech_prob, 1);
-  rb_define_method(cContext, "full", ruby_whisper_full, -1);
-  rb_define_method(cContext, "full_parallel", ruby_whisper_full_parallel, -1);
-
-  // High leve
-  rb_define_method(cContext, "full_get_segment", ruby_whisper_full_get_segment, 1);
-  rb_define_method(cContext, "each_segment", ruby_whisper_each_segment, 0);
-
-  rb_define_method(cContext, "model", ruby_whisper_get_model, 0);
-}
--- a/bindings/ruby/ext/ruby_whisper_error.c
+++ b/bindings/ruby/ext/ruby_whisper_error.c
@ -1,52 +0,0 @@
-#include <ruby.h>
-
-extern VALUE eError;
-
-VALUE ruby_whisper_error_initialize(VALUE self, VALUE code)
-{
-  const int c_code = NUM2INT(code);
-  const char *raw_message;
-  switch (c_code) {
-  case -2:
-    raw_message = "failed to compute log mel spectrogram";
-    break;
-  case -3:
-    raw_message = "failed to auto-detect language";
-    break;
-  case -4:
-    raw_message = "too many decoders requested";
-    break;
-  case -5:
-    raw_message = "audio_ctx is larger than the maximum allowed";
-    break;
-  case -6:
-    raw_message = "failed to encode";
-    break;
-  case -7:
-    raw_message = "whisper_kv_cache_init() failed for self-attention cache";
-    break;
-  case -8:
-    raw_message = "failed to decode";
-    break;
-  case -9:
-    raw_message = "failed to decode";
-    break;
-  default:
-    raw_message = "unknown error";
-    break;
-  }
-  const VALUE message = rb_str_new2(raw_message);
-  rb_call_super(1, &message);
-  rb_iv_set(self, "@code", code);
-
-  return self;
-}
-
-void
-init_ruby_whisper_error(VALUE *mWhisper)
-{
-  eError = rb_define_class_under(*mWhisper, "Error", rb_eStandardError);
-
-  rb_define_attr(eError, "code", true, false);
-  rb_define_method(eError, "initialize", ruby_whisper_error_initialize, 1);
-}
--- a/bindings/ruby/ext/ruby_whisper_model.c
+++ b/bindings/ruby/ext/ruby_whisper_model.c
@ -1,210 +0,0 @@
-#include <ruby.h>
-#include "ruby_whisper.h"
-
-extern VALUE cModel;
-
-static void rb_whisper_model_mark(ruby_whisper_model *rwm) {
-  rb_gc_mark(rwm->context);
-}
-
-static VALUE ruby_whisper_model_allocate(VALUE klass) {
-  ruby_whisper_model *rwm;
-  rwm = ALLOC(ruby_whisper_model);
-  return Data_Wrap_Struct(klass, rb_whisper_model_mark, RUBY_DEFAULT_FREE, rwm);
-}
-
-VALUE rb_whisper_model_initialize(VALUE context) {
-  ruby_whisper_model *rwm;
-  const VALUE model = ruby_whisper_model_allocate(cModel);
-  Data_Get_Struct(model, ruby_whisper_model, rwm);
-  rwm->context = context;
-  return model;
-};
-
-/*
- * call-seq:
- *   n_vocab -> Integer
- */
-static VALUE
-ruby_whisper_model_n_vocab(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_vocab(rw->context));
-}
-
-/*
- * call-seq:
- *   n_audio_ctx -> Integer
- */
-static VALUE
-ruby_whisper_model_n_audio_ctx(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_ctx(rw->context));
-}
-
-/*
- * call-seq:
- *   n_audio_state -> Integer
- */
-static VALUE
-ruby_whisper_model_n_audio_state(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_state(rw->context));
-}
-
-/*
- * call-seq:
- *   n_audio_head -> Integer
- */
-static VALUE
-ruby_whisper_model_n_audio_head(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_head(rw->context));
-}
-
-/*
- * call-seq:
- *   n_audio_layer -> Integer
- */
-static VALUE
-ruby_whisper_model_n_audio_layer(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_audio_layer(rw->context));
-}
-
-/*
- * call-seq:
- *   n_text_ctx -> Integer
- */
-static VALUE
-ruby_whisper_model_n_text_ctx(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_ctx(rw->context));
-}
-
-/*
- * call-seq:
- *   n_text_state -> Integer
- */
-static VALUE
-ruby_whisper_model_n_text_state(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_state(rw->context));
-}
-
-/*
- * call-seq:
- *   n_text_head -> Integer
- */
-static VALUE
-ruby_whisper_model_n_text_head(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_head(rw->context));
-}
-
-/*
- * call-seq:
- *   n_text_layer -> Integer
- */
-static VALUE
-ruby_whisper_model_n_text_layer(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_text_layer(rw->context));
-}
-
-/*
- * call-seq:
- *   n_mels -> Integer
- */
-static VALUE
-ruby_whisper_model_n_mels(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_n_mels(rw->context));
-}
-
-/*
- * call-seq:
- *   ftype -> Integer
- */
-static VALUE
-ruby_whisper_model_ftype(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return INT2NUM(whisper_model_ftype(rw->context));
-}
-
-/*
- * call-seq:
- *   type -> String
- */
-static VALUE
-ruby_whisper_model_type(VALUE self)
-{
-  ruby_whisper_model *rwm;
-  Data_Get_Struct(self, ruby_whisper_model, rwm);
-  ruby_whisper *rw;
-  Data_Get_Struct(rwm->context, ruby_whisper, rw);
-  return rb_str_new2(whisper_model_type_readable(rw->context));
-}
-
-void
-init_ruby_whisper_model(VALUE *mWhisper)
-{
-  cModel = rb_define_class_under(*mWhisper, "Model", rb_cObject);
-
-  rb_define_alloc_func(cModel, ruby_whisper_model_allocate);
-  rb_define_method(cModel, "n_vocab", ruby_whisper_model_n_vocab, 0);
-  rb_define_method(cModel, "n_audio_ctx", ruby_whisper_model_n_audio_ctx, 0);
-  rb_define_method(cModel, "n_audio_state", ruby_whisper_model_n_audio_state, 0);
-  rb_define_method(cModel, "n_audio_head", ruby_whisper_model_n_audio_head, 0);
-  rb_define_method(cModel, "n_audio_layer", ruby_whisper_model_n_audio_layer, 0);
-  rb_define_method(cModel, "n_text_ctx", ruby_whisper_model_n_text_ctx, 0);
-  rb_define_method(cModel, "n_text_state", ruby_whisper_model_n_text_state, 0);
-  rb_define_method(cModel, "n_text_head", ruby_whisper_model_n_text_head, 0);
-  rb_define_method(cModel, "n_text_layer", ruby_whisper_model_n_text_layer, 0);
-  rb_define_method(cModel, "n_mels", ruby_whisper_model_n_mels, 0);
-  rb_define_method(cModel, "ftype", ruby_whisper_model_ftype, 0);
-  rb_define_method(cModel, "type", ruby_whisper_model_type, 0);
-}
--- a/bindings/ruby/ext/ruby_whisper_params.c
+++ b/bindings/ruby/ext/ruby_whisper_params.c
--- a/bindings/ruby/ext/ruby_whisper_segment.c
+++ b/bindings/ruby/ext/ruby_whisper_segment.c
@ -1,123 +0,0 @@
-#include <ruby.h>
-#include "ruby_whisper.h"
-
-extern VALUE cSegment;
-
-static void
-rb_whisper_segment_mark(ruby_whisper_segment *rws)
-{
-  rb_gc_mark(rws->context);
-}
-
-VALUE
-ruby_whisper_segment_allocate(VALUE klass)
-{
-  ruby_whisper_segment *rws;
-  rws = ALLOC(ruby_whisper_segment);
-  return Data_Wrap_Struct(klass, rb_whisper_segment_mark, RUBY_DEFAULT_FREE, rws);
-}
-
-VALUE
-rb_whisper_segment_initialize(VALUE context, int index)
-{
-  ruby_whisper_segment *rws;
-  const VALUE segment = ruby_whisper_segment_allocate(cSegment);
-  Data_Get_Struct(segment, ruby_whisper_segment, rws);
-  rws->context = context;
-  rws->index = index;
-  return segment;
-};
-
-/*
- * Start time in milliseconds.
- *
- * call-seq:
- *   start_time -> Integer
- */
-static VALUE
-ruby_whisper_segment_get_start_time(VALUE self)
-{
-  ruby_whisper_segment *rws;
-  Data_Get_Struct(self, ruby_whisper_segment, rws);
-  ruby_whisper *rw;
-  Data_Get_Struct(rws->context, ruby_whisper, rw);
-  const int64_t t0 = whisper_full_get_segment_t0(rw->context, rws->index);
-  // able to multiply 10 without overflow because to_timestamp() in whisper.cpp does it
-  return INT2NUM(t0 * 10);
-}
-
-/*
- * End time in milliseconds.
- *
- * call-seq:
- *   end_time -> Integer
- */
-static VALUE
-ruby_whisper_segment_get_end_time(VALUE self)
-{
-  ruby_whisper_segment *rws;
-  Data_Get_Struct(self, ruby_whisper_segment, rws);
-  ruby_whisper *rw;
-  Data_Get_Struct(rws->context, ruby_whisper, rw);
-  const int64_t t1 = whisper_full_get_segment_t1(rw->context, rws->index);
-  // able to multiply 10 without overflow because to_timestamp() in whisper.cpp does it
-  return INT2NUM(t1 * 10);
-}
-
-/*
- * Whether the next segment is predicted as a speaker turn.
- *
- * call-seq:
- *   speaker_turn_next? -> bool
- */
-static VALUE
-ruby_whisper_segment_get_speaker_turn_next(VALUE self)
-{
-  ruby_whisper_segment *rws;
-  Data_Get_Struct(self, ruby_whisper_segment, rws);
-  ruby_whisper *rw;
-  Data_Get_Struct(rws->context, ruby_whisper, rw);
-  return whisper_full_get_segment_speaker_turn_next(rw->context, rws->index) ? Qtrue : Qfalse;
-}
-
-/*
- * call-seq:
- *   text -> String
- */
-static VALUE
-ruby_whisper_segment_get_text(VALUE self)
-{
-  ruby_whisper_segment *rws;
-  Data_Get_Struct(self, ruby_whisper_segment, rws);
-  ruby_whisper *rw;
-  Data_Get_Struct(rws->context, ruby_whisper, rw);
-  const char * text = whisper_full_get_segment_text(rw->context, rws->index);
-  return rb_str_new2(text);
-}
-
-/*
- * call-seq:
- *   no_speech_prob -> Float
- */
-static VALUE
-ruby_whisper_segment_get_no_speech_prob(VALUE self)
-{
-  ruby_whisper_segment *rws;
-  Data_Get_Struct(self, ruby_whisper_segment, rws);
-  ruby_whisper *rw;
-  Data_Get_Struct(rws->context, ruby_whisper, rw);
-  return DBL2NUM(whisper_full_get_segment_no_speech_prob(rw->context, rws->index));
-}
-
-void
-init_ruby_whisper_segment(VALUE *mWhisper, VALUE *cContext)
-{
-  cSegment  = rb_define_class_under(*mWhisper, "Segment", rb_cObject);
-
-  rb_define_alloc_func(cSegment, ruby_whisper_segment_allocate);
-  rb_define_method(cSegment, "start_time", ruby_whisper_segment_get_start_time, 0);
-  rb_define_method(cSegment, "end_time", ruby_whisper_segment_get_end_time, 0);
-  rb_define_method(cSegment, "speaker_next_turn?", ruby_whisper_segment_get_speaker_turn_next, 0);
-  rb_define_method(cSegment, "text", ruby_whisper_segment_get_text, 0);
-  rb_define_method(cSegment, "no_speech_prob", ruby_whisper_segment_get_no_speech_prob, 0);
-}
--- a/bindings/ruby/ext/ruby_whisper_transcribe.cpp
+++ b/bindings/ruby/ext/ruby_whisper_transcribe.cpp
@ -1,83 +0,0 @@
-#include <ruby.h>
-#include "ruby_whisper.h"
-#include "common-whisper.h"
-#include <string>
-#include <vector>
-
-#ifdef __cplusplus
-extern "C" {
-#endif
-
-extern ID id_to_s;
-extern ID id_call;
-
-extern void
-register_callbacks(ruby_whisper_params * rwp, VALUE * self);
-
-/*
- * transcribe a single file
- * can emit to a block results
- *
- *   params = Whisper::Params.new
- *   params.duration = 60_000
- *   whisper.transcribe "path/to/audio.wav", params do |text|
- *     puts text
- *   end
- *
- * call-seq:
- *   transcribe(path_to_audio, params) {|text| ...}
- **/
-VALUE
-ruby_whisper_transcribe(int argc, VALUE *argv, VALUE self) {
-  ruby_whisper *rw;
-  ruby_whisper_params *rwp;
-  VALUE wave_file_path, blk, params;
-
-  rb_scan_args(argc, argv, "02&", &wave_file_path, &params, &blk);
-  Data_Get_Struct(self, ruby_whisper, rw);
-  Data_Get_Struct(params, ruby_whisper_params, rwp);
-
-  if (!rb_respond_to(wave_file_path, id_to_s)) {
-    rb_raise(rb_eRuntimeError, "Expected file path to wave file");
-  }
-
-  std::string fname_inp = StringValueCStr(wave_file_path);
-
-  std::vector<float> pcmf32; // mono-channel F32 PCM
-  std::vector<std::vector<float>> pcmf32s; // stereo-channel F32 PCM
-
-  if (!read_audio_data(fname_inp, pcmf32, pcmf32s, rwp->diarize)) {
-    fprintf(stderr, "error: failed to open '%s' as WAV file\n", fname_inp.c_str());
-    return self;
-  }
-  {
-    static bool is_aborted = false; // NOTE: this should be atomic to avoid data race
-
-    rwp->params.encoder_begin_callback = [](struct whisper_context * /*ctx*/, struct whisper_state * /*state*/, void * user_data) {
-      bool is_aborted = *(bool*)user_data;
-      return !is_aborted;
-    };
-    rwp->params.encoder_begin_callback_user_data = &is_aborted;
-  }
-
-  register_callbacks(rwp, &self);
-
-  if (whisper_full_parallel(rw->context, rwp->params, pcmf32.data(), pcmf32.size(), 1) != 0) {
-    fprintf(stderr, "failed to process audio\n");
-    return self;
-  }
-  const int n_segments = whisper_full_n_segments(rw->context);
-  VALUE output = rb_str_new2("");
-  for (int i = 0; i < n_segments; ++i) {
-    const char * text = whisper_full_get_segment_text(rw->context, i);
-    output = rb_str_concat(output, rb_str_new2(text));
-  }
-  VALUE idCall = id_call;
-  if (blk != Qnil) {
-    rb_funcall(blk, idCall, 1, output);
-  }
-  return self;
-}
-#ifdef __cplusplus
-}
-#endif
--- a/bindings/ruby/extsources.rb
+++ b/bindings/ruby/extsources.rb
@ -1,6 +0,0 @@
-require "yaml"
-
-sources = `git ls-files -z ../..`.split("\x0")
-paths = YAML.load_file("../../.github/workflows/bindings-ruby.yml")[true]["push"]["paths"]
-paths.delete "bindings/ruby/**"
-EXTSOURCES = (Dir.glob(paths, base: "../..").collect {|path| "../../#{path}"} << "../../LICENSE") & sources
--- a/bindings/ruby/lib/whisper/model/uri.rb
+++ b/bindings/ruby/lib/whisper/model/uri.rb
@ -1,170 +0,0 @@
-require "uri"
-require "net/http"
-require "time"
-require "pathname"
-require "io/console/size"
-
-module Whisper
-  class Model
-    class URI
-      def initialize(uri)
-        @uri = URI(uri)
-      end
-
-      def to_path
-        cache
-        cache_path.to_path
-      end
-
-      def clear_cache
-        path = cache_path
-        path.delete if path.exist?
-      end
-
-      private
-
-      def cache_path
-        base_cache_dir/@uri.host/@uri.path[1..]
-      end
-
-      def base_cache_dir
-        base = case RUBY_PLATFORM
-               when /mswin|mingw/
-                 ENV.key?("LOCALAPPDATA") ? Pathname(ENV["LOCALAPPDATA"]) : Pathname(Dir.home)/"AppData/Local"
-               when /darwin/
-                 Pathname(Dir.home)/"Library/Caches"
-               else
-                 ENV.key?("XDG_CACHE_HOME") ? ENV["XDG_CACHE_HOME"] : Pathname(Dir.home)/".cache"
-               end
-        base/"whisper.cpp"
-      end
-
-      def cache
-        path = cache_path
-        headers = {}
-        headers["if-modified-since"] = path.mtime.httpdate if path.exist?
-        request @uri, headers
-        path
-      end
-
-      def request(uri, headers)
-        Net::HTTP.start uri.host, uri.port, use_ssl: uri.scheme == "https" do |http|
-          request = Net::HTTP::Get.new(uri, headers)
-          http.request request do |response|
-            case response
-            when Net::HTTPNotModified
-            # noop
-            when Net::HTTPOK
-              download response
-            when Net::HTTPRedirection
-              request URI(response["location"]), headers
-            else
-              return if headers.key?("if-modified-since") # Use cache file
-
-              raise "#{response.code} #{response.message}\n#{response.body}"
-            end
-          end
-        end
-      rescue => err
-        if cache_path.exist?
-          warn err
-        # Use cache file
-        else
-          raise
-        end
-      end
-
-      def download(response)
-        path = cache_path
-        path.dirname.mkpath unless path.dirname.exist?
-        downloading_path = Pathname("#{path}.downloading")
-        size = response.content_length
-        downloading_path.open "wb" do |file|
-          downloaded = 0
-          response.read_body do |chunk|
-            file << chunk
-            downloaded += chunk.bytesize
-            show_progress downloaded, size
-          end
-          $stderr.puts
-        end
-        downloading_path.rename path
-      end
-
-      def show_progress(current, size)
-        progress_rate_available = size && $stderr.tty?
-
-        unless @prev
-          @prev = Time.now
-          $stderr.puts "Downloading #{@uri} to #{cache_path}"
-        end
-
-        now = Time.now
-
-        if progress_rate_available
-          return if now - @prev < 1 && current < size
-
-          progress_width = 20
-          progress = current.to_f / size
-          arrow_length = progress * progress_width
-          arrow = "=" * (arrow_length - 1) + ">" + " " * (progress_width - arrow_length)
-          line = "[#{arrow}] (#{format_bytesize(current)} / #{format_bytesize(size)})"
-          padding = ' ' * ($stderr.winsize[1] - line.size)
-          $stderr.print "\r#{line}#{padding}"
-        else
-          return if now - @prev < 1
-
-          $stderr.print "."
-        end
-        @prev = now
-      end
-
-      def format_bytesize(bytesize)
-        return "0.0 B" if bytesize.zero?
-
-        units = %w[B KiB MiB GiB TiB]
-        exp = (Math.log(bytesize) / Math.log(1024)).to_i
-        format("%.1f %s", bytesize.to_f / 1024 ** exp, units[exp])
-      end
-    end
-
-    @pre_converted_models = %w[
-      tiny
-      tiny.en
-      tiny-q5_1
-      tiny.en-q5_1
-      tiny-q8_0
-      base
-      base.en
-      base-q5_1
-      base.en-q5_1
-      base-q8_0
-      small
-      small.en
-      small.en-tdrz
-      small-q5_1
-      small.en-q5_1
-      small-q8_0
-      medium
-      medium.en
-      medium-q5_0
-      medium.en-q5_0
-      medium-q8_0
-      large-v1
-      large-v2
-      large-v2-q5_0
-      large-v2-q8_0
-      large-v3
-      large-v3-q5_0
-      large-v3-turbo
-      large-v3-turbo-q5_0
-      large-v3-turbo-q8_0
-    ].each_with_object({}) {|name, models|
-      models[name] = URI.new("https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-#{name}.bin")
-    }
-
-    class << self
-      attr_reader :pre_converted_models
-    end
-  end
-end
--- a/bindings/ruby/sig/whisper.rbs
+++ b/bindings/ruby/sig/whisper.rbs
@ -1,189 +0,0 @@
-module Whisper
-  interface _Samples
-    def length: () -> Integer
-    def each: { (Float) -> void } -> void
-  end
-
-  type log_callback = ^(Integer level, String message, Object user_data) -> void
-  type new_segment_callback = ^(Whisper::Context, void, Integer n_new, Object user_data) -> void
-  type progress_callback = ^(Whisper::Context, void, Integer progress, Object user_data) -> void
-  type abort_callback = ^(Whisper::Context, void, Object user_data) -> boolish
-
-  LOG_LEVEL_NONE: Integer
-  LOG_LEVEL_INFO: Integer
-  LOG_LEVEL_WARN: Integer
-  LOG_LEVEL_ERROR: Integer
-  LOG_LEVEL_DEBUG: Integer
-  LOG_LEVEL_CONT: Integer
-
-  def self.lang_max_id: () -> Integer
-  def self.lang_id: (string name) -> Integer
-  def self.lang_str: (Integer id) -> String
-  def self.lang_str_full: (Integer id) -> String
-  def self.log_set: (log_callback, Object? user_data) -> log_callback
-
-  class Context
-    def self.new: (string | _ToPath | ::URI::HTTP) -> instance
-    def transcribe: (string, Params) -> self
-                  | (string, Params) { (String) -> void } -> self
-    def model_n_vocab: () -> Integer
-    def model_n_audio_ctx: () -> Integer
-    def model_n_audio_state: () -> Integer
-    def model_n_text_head: () -> Integer
-    def model_n_text_layer: () -> Integer
-    def model_n_mels: () -> Integer
-    def model_ftype: () -> Integer
-    def model_type: () -> String
-    def each_segment: { (Segment) -> void } -> void
-                    | () -> Enumerator[Segment]
-    def model: () -> Model
-    def full_get_segment: (Integer nth) -> Segment
-    def full_n_segments: () -> Integer
-    def full_lang_id: () -> Integer
-    def full_get_segment_t0: (Integer) -> Integer
-    def full_get_segment_t1: (Integer) -> Integer
-    def full_get_segment_speaker_turn_next: (Integer) -> (true | false)
-    def full_get_segment_text: (Integer) -> String
-    def full_get_segment_no_speech_prob: (Integer) -> Float
-    def full: (Params, Array[Float] samples, ?Integer n_samples) -> self
-            | (Params, _Samples, ?Integer n_samples) -> self
-    def full_parallel: (Params, Array[Float], ?Integer n_samples) -> self
-                     | (Params, _Samples, ?Integer n_samples) -> self
-                     | (Params, _Samples, ?Integer? n_samples, Integer n_processors) -> self
-  end
-
-  class Params
-    def self.new: (
-      ?language: string,
-      ?translate: boolish,
-      ?no_context: boolish,
-      ?single_segment: boolish,
-      ?print_special: boolish,
-      ?print_progress: boolish,
-      ?print_realtime: boolish,
-      ?print_timestamps: boolish,
-      ?suppress_blank: boolish,
-      ?suppress_nst: boolish,
-      ?token_timestamps: boolish,
-      ?split_on_word: boolish,
-      ?initial_prompt: string | nil,
-      ?diarize: boolish,
-      ?offset: Integer,
-      ?duration: Integer,
-      ?max_text_tokens: Integer,
-      ?temperature: Float,
-      ?max_initial_ts: Float,
-      ?length_penalty: Float,
-      ?temperature_inc: Float,
-      ?entropy_thold: Float,
-      ?logprob_thold: Float,
-      ?no_speech_thold: Float,
-      ?new_segment_callback: new_segment_callback,
-      ?new_segment_callback_user_data: Object,
-      ?progress_callback: progress_callback,
-      ?progress_callback_user_data: Object,
-      ?abort_callback: abort_callback,
-      ?abort_callback_user_data: Object
-    ) -> instance
-    def language=: (String) -> String # TODO: Enumerate lang names
-    def language: () -> String
-    def translate=: (boolish) -> boolish
-    def translate: () -> (true | false)
-    def no_context=: (boolish) -> boolish
-    def no_context: () -> (true | false)
-    def single_segment=: (boolish) -> boolish
-    def single_segment: () -> (true | false)
-    def print_special=: (boolish) -> boolish
-    def print_special: () -> (true | false)
-    def print_progress=: (boolish) -> boolish
-    def print_progress: () -> (true | false)
-    def print_realtime=: (boolish) -> boolish
-    def print_realtime: () -> (true | false)
-    def print_timestamps=: (boolish) -> boolish
-    def print_timestamps: () -> (true | false)
-    def suppress_blank=: (boolish) -> boolish
-    def suppress_blank: () -> (true | false)
-    def suppress_nst=: (boolish) -> boolish
-    def suppress_nst: () -> (true | false)
-    def token_timestamps=: (boolish) -> boolish
-    def token_timestamps: () -> (true | false)
-    def split_on_word=: (boolish) -> boolish
-    def split_on_word: () -> (true | false)
-    def initial_prompt=: (_ToS) -> _ToS
-    def initial_prompt: () -> (String | nil)
-    def diarize=: (boolish) -> boolish
-    def diarize: () -> (true | false)
-    def offset=: (Integer) -> Integer
-    def offset: () -> Integer
-    def duration=: (Integer) -> Integer
-    def duration: () -> Integer
-    def max_text_tokens=: (Integer) -> Integer
-    def max_text_tokens: () -> Integer
-    def temperature=: (Float) -> Float
-    def temperature: () -> Float
-    def max_initial_ts=: (Float) -> Float
-    def max_initial_ts: () -> Float
-    def length_penalty=: (Float) -> Float
-    def length_penalty: () -> Float
-    def temperature_inc=: (Float) -> Float
-    def temperature_inc: () -> Float
-    def entropy_thold=: (Float) -> Float
-    def entropy_thold: () -> Float
-    def logprob_thold=: (Float) -> Float
-    def logprob_thold: () -> Float
-    def no_speech_thold=: (Float) -> Float
-    def no_speech_thold: () -> Float
-    def new_segment_callback=: (new_segment_callback) -> new_segment_callback
-    def new_segment_callback: () -> (new_segment_callback | nil)
-    def new_segment_callback_user_data=: (Object) -> Object
-    def new_segment_callback_user_data: () -> Object
-    def progress_callback=: (progress_callback) -> progress_callback
-    def progress_callback: () -> (progress_callback | nil)
-    def progress_callback_user_data=: (Object) -> Object
-    def progress_callback_user_data: () -> Object
-    def abort_callback=: (abort_callback) -> abort_callback
-    def abort_callback: () -> (abort_callback | nil)
-    def abort_callback_user_data=: (Object) -> Object
-    def abort_callback_user_data: () -> Object
-    def on_new_segment: { (Segment) -> void } -> void
-    def on_progress: { (Integer progress) -> void } -> void
-    def abort_on: { (Object user_data) -> boolish } -> void
-  end
-
-  class Model
-    def self.pre_converted_models: () -> Hash[String, Model::URI]
-    def self.new: () -> instance
-    def n_vocab: () -> Integer
-    def n_audio_ctx: () -> Integer
-    def n_audio_state: () -> Integer
-    def n_audio_head: () -> Integer
-    def n_audio_layer: () -> Integer
-    def n_text_ctx: () -> Integer
-    def n_text_state: () -> Integer
-    def n_text_head: () -> Integer
-    def n_text_layer: () -> Integer
-    def n_mels: () -> Integer
-    def ftype: () -> Integer
-    def type: () -> String
-
-    class URI
-      def self.new: (string | ::URI::HTTP) -> self
-      def to_path: -> String
-      def clear_cache: -> void
-    end
-  end
-
-  class Segment
-    def start_time: () -> Integer
-    def end_time: () -> Integer
-    def speaker_next_turn?: () -> (true | false)
-    def text: () -> String
-    def no_speech_prob: () -> Float
-  end
-
-  class Error < StandardError
-    attr_reader code: Integer
-
-    def self.new: (Integer code) -> instance
-  end
-end
--- a/bindings/ruby/tests/helper.rb
+++ b/bindings/ruby/tests/helper.rb
@ -1,24 +0,0 @@
-require "test/unit"
-require "whisper"
-require_relative "jfk_reader/jfk_reader"
-
-class TestBase < Test::Unit::TestCase
-  AUDIO = File.join(__dir__, "..", "..", "..", "samples", "jfk.wav")
-
-  class << self
-    attr_reader :whisper
-
-    def startup
-      @whisper = Whisper::Context.new("base.en")
-      params = Whisper::Params.new
-      params.print_timestamps = false
-      @whisper.transcribe(TestBase::AUDIO, params)
-    end
-  end
-
-  private
-
-  def whisper
-    self.class.whisper
-  end
-end
--- a/bindings/ruby/tests/jfk_reader/.gitignore
+++ b/bindings/ruby/tests/jfk_reader/.gitignore
@ -1,5 +0,0 @@
-Makefile
-jfk_reader.o
-jfk_reader.so
-jfk_reader.bundle
-jfk_reader.dll
--- a/Show More
+++ b/Show More