diff --git a/.gitignore b/.gitignore index 7bb41134..0e05ca07 100644 --- a/.gitignore +++ b/.gitignore @@ -13,6 +13,7 @@ build-sanitize-thread/ main stream +command bench sync.sh compile_commands.json diff --git a/Makefile b/Makefile index 125b2468..07c91c10 100644 --- a/Makefile +++ b/Makefile @@ -134,7 +134,7 @@ libwhisper.so: ggml.o whisper.o $(CXX) $(CXXFLAGS) -shared -o libwhisper.so ggml.o whisper.o $(LDFLAGS) clean: - rm -f *.o main stream bench libwhisper.a libwhisper.so + rm -f *.o main stream command bench libwhisper.a libwhisper.so # # Examples @@ -149,6 +149,9 @@ main: examples/main/main.cpp ggml.o whisper.o stream: examples/stream/stream.cpp ggml.o whisper.o $(CXX) $(CXXFLAGS) examples/stream/stream.cpp ggml.o whisper.o -o stream $(CC_SDL) $(LDFLAGS) +command: examples/command/command.cpp ggml.o whisper.o + $(CXX) $(CXXFLAGS) examples/command/command.cpp ggml.o whisper.o -o command $(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) diff --git a/README.md b/README.md index f644865c..e66ee123 100644 --- a/README.md +++ b/README.md @@ -98,26 +98,27 @@ c++ -I. -I./examples -O3 -std=c++11 -pthread examples/main/main.cpp whisper.o gg usage: ./main [options] file0.wav file1.wav ... options: - -h, --help show this help message and exit - -t N, --threads N number of threads to use during computation (default: 4) - -p N, --processors N number of processors to use during computation (default: 1) - -ot N, --offset-t N time offset in milliseconds (default: 0) - -on N, --offset-n N segment index offset (default: 0) - -mc N, --max-context N maximum number of text context tokens to store (default: max) - -ml N, --max-len N maximum segment length in characters (default: 0) - -wt N, --word-thold N word timestamp probability threshold (default: 0.010000) - -v, --verbose verbose output - --translate translate from source language to english - -otxt, --output-txt output result in a text file - -ovtt, --output-vtt output result in a vtt file - -osrt, --output-srt output result in a srt file - -owts, --output-words output script for generating karaoke video - -ps, --print_special print special tokens - -pc, --print_colors print colors - -nt, --no_timestamps do not print timestamps - -l LANG, --language LANG spoken language (default: en) - -m FNAME, --model FNAME model path (default: models/ggml-base.en.bin) - -f FNAME, --file FNAME input WAV file path + -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 + -wt N, --word-thold N [0.01 ] word timestamp probability threshold + -su, --speed-up [false ] speed up audio by x2 (reduced accuracy) + -tr, --translate [false ] translate from source language to english + -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 + -ps, --print-special [false ] print special tokens + -pc, --print-colors [false ] print colors + -nt, --no-timestamps [true ] do not print timestamps + -l LANG, --language LANG [en ] spoken language + -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 ... @@ -149,13 +150,13 @@ 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 = 670.00 MB whisper_model_load: adding 1607 extra tokens -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 +whisper_model_load: mem_required = 506.00 MB +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 = 4 / 10 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | +system_info: n_threads = 4 / 10 | AVX = 0 | AVX2 = 0 | AVX512 = 0 | NEON = 1 | FP16_VA = 1 | WASM_SIMD = 0 | BLAS = 1 | main: processing 'samples/jfk.wav' (176000 samples, 11.0 sec), 4 threads, 1 processors, lang = en, task = transcribe, timestamps = 1 ... diff --git a/examples/CMakeLists.txt b/examples/CMakeLists.txt index da0b37c7..7d7e5342 100644 --- a/examples/CMakeLists.txt +++ b/examples/CMakeLists.txt @@ -24,5 +24,6 @@ if (EMSCRIPTEN) else() add_subdirectory(main) add_subdirectory(stream) + add_subdirectory(command) add_subdirectory(bench) endif() diff --git a/examples/command/CMakeLists.txt b/examples/command/CMakeLists.txt new file mode 100644 index 00000000..0fe5ad5d --- /dev/null +++ b/examples/command/CMakeLists.txt @@ -0,0 +1,7 @@ +if (WHISPER_SUPPORT_SDL2) + # command + set(TARGET command) + add_executable(${TARGET} command.cpp) + target_include_directories(${TARGET} PRIVATE ${SDL2_INCLUDE_DIRS}) + target_link_libraries(${TARGET} PRIVATE whisper ${SDL2_LIBRARIES} ${CMAKE_THREAD_LIBS_INIT}) +endif () diff --git a/examples/command/README.md b/examples/command/README.md new file mode 100644 index 00000000..b4d62e48 --- /dev/null +++ b/examples/command/README.md @@ -0,0 +1,26 @@ +# command + +This is a basic Voice Assistant example that accepts voice commands from the microphone. +More info is available in [issue #171](https://github.com/ggerganov/whisper.cpp/issues/171). + +```java +# Run with default arguments and small model +./command -m ./models/ggml-small.en.bin -t 8 + +# On Raspberry Pi, use tiny or base models + "-ac 768" for better performance +./bin/command -m ../models/ggml-tiny.en.bin -ac 768 +``` + +## Building + +The `command` tool depends on SDL2 library to capture audio from the microphone. You can build it like this: + +```bash +# Install SDL2 on Linux +sudo apt-get install libsdl2-dev + +# Install SDL2 on Mac OS +brew install sdl2 + +make command +``` diff --git a/examples/command/command.cpp b/examples/command/command.cpp new file mode 100644 index 00000000..9a9bde98 --- /dev/null +++ b/examples/command/command.cpp @@ -0,0 +1,646 @@ +// Voice assistant example +// +// Speak short text commands to the microphone. +// This program will detect your voice command and convert them to text. +// +// ref: https://github.com/ggerganov/whisper.cpp/issues/171 +// + +#include "whisper.h" + +#include +#include + +#include +#include +#include +#include +#include +#include +#include + +// command-line parameters +struct whisper_params { + int32_t n_threads = std::min(4, (int32_t) std::thread::hardware_concurrency()); + int32_t prompt_ms = 5000; + int32_t command_ms = 4000; + int32_t capture_id = -1; + int32_t max_tokens = 32; + int32_t audio_ctx = 0; + + float vad_thold = 0.6f; + float freq_thold = 100.0f; + + bool speed_up = false; + bool translate = false; + bool no_context = true; + bool print_special = false; + bool print_energy = false; + bool no_timestamps = true; + + std::string language = "en"; + std::string model = "models/ggml-base.en.bin"; + std::string fname_out = ""; +}; + +void whisper_print_usage(int argc, char ** argv, const whisper_params & params); + +bool whisper_params_parse(int argc, char ** argv, whisper_params & params) { + for (int i = 1; i < argc; i++) { + std::string arg = argv[i]; + + if (arg == "-h" || arg == "--help") { + whisper_print_usage(argc, argv, params); + exit(0); + } + else if (arg == "-t" || arg == "--threads") { params.n_threads = std::stoi(argv[++i]); } + else if (arg == "-pms" || arg == "--prompt-ms") { params.prompt_ms = std::stoi(argv[++i]); } + else if (arg == "-cms" || arg == "--command-ms") { params.command_ms = std::stoi(argv[++i]); } + else if (arg == "-c" || arg == "--capture") { params.capture_id = std::stoi(argv[++i]); } + else if (arg == "-mt" || arg == "--max-tokens") { params.max_tokens = std::stoi(argv[++i]); } + else if (arg == "-ac" || arg == "--audio-ctx") { params.audio_ctx = std::stoi(argv[++i]); } + else if (arg == "-vth" || arg == "--vad-thold") { params.vad_thold = std::stof(argv[++i]); } + else if (arg == "-fth" || arg == "--freq-thold") { params.freq_thold = std::stof(argv[++i]); } + else if (arg == "-su" || arg == "--speed-up") { params.speed_up = true; } + else if (arg == "-tr" || arg == "--translate") { params.translate = true; } + else if (arg == "-ps" || arg == "--print-special") { params.print_special = true; } + else if (arg == "-pe" || arg == "--print-energy") { params.print_energy = true; } + else if (arg == "-l" || arg == "--language") { params.language = argv[++i]; } + else if (arg == "-m" || arg == "--model") { params.model = argv[++i]; } + else if (arg == "-f" || arg == "--file") { params.fname_out = argv[++i]; } + else { + fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); + whisper_print_usage(argc, argv, params); + exit(0); + } + } + + return true; +} + +void whisper_print_usage(int argc, char ** argv, const whisper_params & params) { + fprintf(stderr, "\n"); + fprintf(stderr, "usage: %s [options]\n", argv[0]); + fprintf(stderr, "\n"); + fprintf(stderr, "options:\n"); + fprintf(stderr, " -h, --help [default] show this help message and exit\n"); + fprintf(stderr, " -t N, --threads N [%-7d] number of threads to use during computation\n", params.n_threads); + fprintf(stderr, " -pms N, --prompt-ms N [%-7d] prompt duration in milliseconds\n", params.prompt_ms); + fprintf(stderr, " -cms N, --command-ms N [%-7d] command duration in milliseconds\n", params.command_ms); + fprintf(stderr, " -c ID, --capture ID [%-7d] capture device ID\n", params.capture_id); + fprintf(stderr, " -mt N, --max-tokens N [%-7d] maximum number of tokens per audio chunk\n", params.max_tokens); + fprintf(stderr, " -ac N, --audio-ctx N [%-7d] audio context size (0 - all)\n", params.audio_ctx); + fprintf(stderr, " -vth N, --vad-thold N [%-7.2f] voice activity detection threshold\n", params.vad_thold); + fprintf(stderr, " -fth N, --freq-thold N [%-7.2f] high-pass frequency cutoff\n", params.freq_thold); + fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false"); + fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false"); + fprintf(stderr, " -ps, --print-special [%-7s] print special tokens\n", params.print_special ? "true" : "false"); + fprintf(stderr, " -pe, --print-energy [%-7s] print sound energy (for debugging)\n", params.print_energy ? "true" : "false"); + fprintf(stderr, " -l LANG, --language LANG [%-7s] spoken language\n", params.language.c_str()); + fprintf(stderr, " -m FNAME, --model FNAME [%-7s] model path\n", params.model.c_str()); + fprintf(stderr, " -f FNAME, --file FNAME [%-7s] text output file name\n", params.fname_out.c_str()); + fprintf(stderr, "\n"); +} + +// +// SDL Audio capture +// + +class audio_async { +public: + audio_async(int len_ms) { + m_len_ms = len_ms; + } + + bool init(int capture_id, int sample_rate); + + // start capturing audio via the provided SDL callback + // keep last len_ms seconds of audio in a circular buffer + bool resume(); + bool pause(); + bool clear(); + + // callback to be called by SDL + void callback(uint8_t * stream, int len); + + // get audio data from the circular buffer + void get(int ms, std::vector & audio); + +private: + SDL_AudioDeviceID m_dev_id_in = 0; + + int m_len_ms = 0; + int m_sample_rate = 0; + + bool m_running = false; + std::mutex m_mutex; + + std::vector m_audio; + std::vector m_audio_new; + size_t m_audio_pos = 0; + size_t m_audio_len = 0; +}; + +bool audio_async::init(int capture_id, int sample_rate) { + SDL_LogSetPriority(SDL_LOG_CATEGORY_APPLICATION, SDL_LOG_PRIORITY_INFO); + + if (SDL_Init(SDL_INIT_AUDIO) < 0) { + SDL_LogError(SDL_LOG_CATEGORY_APPLICATION, "Couldn't initialize SDL: %s\n", SDL_GetError()); + return false; + } + + SDL_SetHintWithPriority(SDL_HINT_AUDIO_RESAMPLING_MODE, "medium", SDL_HINT_OVERRIDE); + + { + int nDevices = SDL_GetNumAudioDevices(SDL_TRUE); + fprintf(stderr, "%s: found %d capture devices:\n", __func__, nDevices); + for (int i = 0; i < nDevices; i++) { + fprintf(stderr, "%s: - Capture device #%d: '%s'\n", __func__, i, SDL_GetAudioDeviceName(i, SDL_TRUE)); + } + } + + SDL_AudioSpec capture_spec_requested; + SDL_AudioSpec capture_spec_obtained; + + SDL_zero(capture_spec_requested); + SDL_zero(capture_spec_obtained); + + capture_spec_requested.freq = sample_rate; + capture_spec_requested.format = AUDIO_F32; + capture_spec_requested.channels = 1; + capture_spec_requested.samples = 1024; + capture_spec_requested.callback = [](void * userdata, uint8_t * stream, int len) { + audio_async * audio = (audio_async *) userdata; + audio->callback(stream, len); + }; + capture_spec_requested.userdata = this; + + if (capture_id >= 0) { + fprintf(stderr, "%s: attempt to open capture device %d : '%s' ...\n", __func__, capture_id, SDL_GetAudioDeviceName(capture_id, SDL_TRUE)); + m_dev_id_in = SDL_OpenAudioDevice(SDL_GetAudioDeviceName(capture_id, SDL_TRUE), SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0); + } else { + fprintf(stderr, "%s: attempt to open default capture device ...\n", __func__); + m_dev_id_in = SDL_OpenAudioDevice(nullptr, SDL_TRUE, &capture_spec_requested, &capture_spec_obtained, 0); + } + + if (!m_dev_id_in) { + fprintf(stderr, "%s: couldn't open an audio device for capture: %s!\n", __func__, SDL_GetError()); + m_dev_id_in = 0; + + return false; + } else { + fprintf(stderr, "%s: obtained spec for input device (SDL Id = %d):\n", __func__, m_dev_id_in); + fprintf(stderr, "%s: - sample rate: %d\n", __func__, capture_spec_obtained.freq); + fprintf(stderr, "%s: - format: %d (required: %d)\n", __func__, capture_spec_obtained.format, + capture_spec_requested.format); + fprintf(stderr, "%s: - channels: %d (required: %d)\n", __func__, capture_spec_obtained.channels, + capture_spec_requested.channels); + fprintf(stderr, "%s: - samples per frame: %d\n", __func__, capture_spec_obtained.samples); + } + + m_sample_rate = capture_spec_obtained.freq; + + m_audio.resize((m_sample_rate*m_len_ms)/1000); + + return true; +} + +bool audio_async::resume() { + if (!m_dev_id_in) { + fprintf(stderr, "%s: no audio device to resume!\n", __func__); + return false; + } + + if (m_running) { + fprintf(stderr, "%s: already running!\n", __func__); + return false; + } + + SDL_PauseAudioDevice(m_dev_id_in, 0); + + m_running = true; + + return true; +} + +bool audio_async::pause() { + if (!m_dev_id_in) { + fprintf(stderr, "%s: no audio device to pause!\n", __func__); + return false; + } + + if (!m_running) { + fprintf(stderr, "%s: already paused!\n", __func__); + return false; + } + + SDL_PauseAudioDevice(m_dev_id_in, 1); + + m_running = false; + + return true; +} + +bool audio_async::clear() { + if (!m_dev_id_in) { + fprintf(stderr, "%s: no audio device to clear!\n", __func__); + return false; + } + + if (!m_running) { + fprintf(stderr, "%s: not running!\n", __func__); + return false; + } + + { + std::lock_guard lock(m_mutex); + + m_audio_pos = 0; + m_audio_len = 0; + } + + return true; +} + +// callback to be called by SDL +void audio_async::callback(uint8_t * stream, int len) { + if (!m_running) { + return; + } + + const size_t n_samples = len / sizeof(float); + + m_audio_new.resize(n_samples); + memcpy(m_audio_new.data(), stream, n_samples * sizeof(float)); + + //fprintf(stderr, "%s: %zu samples, pos %zu, len %zu\n", __func__, n_samples, m_audio_pos, m_audio_len); + + { + std::lock_guard lock(m_mutex); + + if (m_audio_pos + n_samples > m_audio.size()) { + const size_t n0 = m_audio.size() - m_audio_pos; + + memcpy(&m_audio[m_audio_pos], stream, n0 * sizeof(float)); + memcpy(&m_audio[0], &stream[n0], (n_samples - n0) * sizeof(float)); + + m_audio_pos = (m_audio_pos + n_samples) % m_audio.size(); + m_audio_len = m_audio.size(); + } else { + memcpy(&m_audio[m_audio_pos], stream, n_samples * sizeof(float)); + + m_audio_pos = (m_audio_pos + n_samples) % m_audio.size(); + m_audio_len = std::min(m_audio_len + n_samples, m_audio.size()); + } + } +} + +void audio_async::get(int ms, std::vector & result) { + if (!m_dev_id_in) { + fprintf(stderr, "%s: no audio device to get audio from!\n", __func__); + return; + } + + if (!m_running) { + fprintf(stderr, "%s: not running!\n", __func__); + return; + } + + result.clear(); + + { + std::lock_guard lock(m_mutex); + + if (ms <= 0) { + ms = m_len_ms; + } + + size_t n_samples = (m_sample_rate * ms) / 1000; + if (n_samples > m_audio_len) { + n_samples = m_audio_len; + } + + result.resize(n_samples); + + int s0 = m_audio_pos - n_samples; + if (s0 < 0) { + s0 += m_audio.size(); + } + + if (s0 + n_samples > m_audio.size()) { + const size_t n0 = m_audio.size() - s0; + + memcpy(result.data(), &m_audio[s0], n0 * sizeof(float)); + memcpy(&result[n0], &m_audio[0], (n_samples - n0) * sizeof(float)); + } else { + memcpy(result.data(), &m_audio[s0], n_samples * sizeof(float)); + } + } +} + +/////////////////////////// + +std::string trim(const std::string & s) { + std::regex e("^\\s+|\\s+$"); + return std::regex_replace(s, e, ""); +} + +void high_pass_filter(std::vector & data, float cutoff, float sample_rate) { + const float rc = 1.0f / (2.0f * M_PI * cutoff); + const float dt = 1.0f / sample_rate; + const float alpha = dt / (rc + dt); + + float y = data[0]; + + for (size_t i = 1; i < data.size(); i++) { + y = alpha * (y + data[i] - data[i - 1]); + data[i] = y; + } +} + +bool vad_simple(std::vector & pcmf32, int sample_rate, int last_ms, float vad_thold, float freq_thold, bool verbose) { + const int n_samples = pcmf32.size(); + const int n_samples_last = (sample_rate * last_ms) / 1000; + + if (n_samples_last >= n_samples) { + // not enough samples - assume no speech + return false; + } + + if (freq_thold > 0.0f) { + high_pass_filter(pcmf32, freq_thold, sample_rate); + } + + float energy_all = 0.0f; + float energy_last = 0.0f; + + for (size_t i = 0; i < n_samples; i++) { + energy_all += fabsf(pcmf32[i]); + + if (i >= n_samples - n_samples_last) { + energy_last += fabsf(pcmf32[i]); + } + } + + energy_all /= n_samples; + energy_last /= n_samples_last; + + if (verbose) { + fprintf(stderr, "%s: energy_all: %f, energy_last: %f, vad_thold: %f, freq_thold: %f\n", __func__, energy_all, energy_last, vad_thold, freq_thold); + } + + if (energy_last > vad_thold*energy_all) { + return false; + } + + return true; +} + +std::string transcribe(whisper_context * ctx, const whisper_params & params, const std::vector & pcmf32, float & prob, int64_t & t_ms) { + const auto t_start = std::chrono::high_resolution_clock::now(); + + prob = 0.0f; + t_ms = 0; + + whisper_full_params wparams = whisper_full_default_params(WHISPER_SAMPLING_GREEDY); + + wparams.print_progress = false; + wparams.print_special = params.print_special; + wparams.print_realtime = false; + wparams.print_timestamps = !params.no_timestamps; + wparams.translate = params.translate; + wparams.no_context = true; + wparams.single_segment = true; + wparams.max_tokens = params.max_tokens; + wparams.language = params.language.c_str(); + wparams.n_threads = params.n_threads; + + wparams.audio_ctx = params.audio_ctx; + wparams.speed_up = params.speed_up; + + if (whisper_full(ctx, wparams, pcmf32.data(), pcmf32.size()) != 0) { + return ""; + } + + int prob_n = 0; + std::string result; + + const int n_segments = whisper_full_n_segments(ctx); + for (int i = 0; i < n_segments; ++i) { + const char * text = whisper_full_get_segment_text(ctx, i); + + result += text; + + const int n_tokens = whisper_full_n_tokens(ctx, i); + for (int j = 0; j < n_tokens; ++j) { + const auto token = whisper_full_get_token_data(ctx, i, j); + + prob += token.p; + ++prob_n; + } + } + + if (prob_n > 0) { + prob /= prob_n; + } + + const auto t_end = std::chrono::high_resolution_clock::now(); + t_ms = std::chrono::duration_cast(t_end - t_start).count(); + + return result; +} + +// compute similarity between two strings using Levenshtein distance +float similarity(const std::string & s0, const std::string & s1) { + const size_t len0 = s0.size() + 1; + const size_t len1 = s1.size() + 1; + + std::vector col(len1, 0); + std::vector prevCol(len1, 0); + + for (size_t i = 0; i < len1; i++) { + prevCol[i] = i; + } + + for (size_t i = 0; i < len0; i++) { + col[0] = i; + for (size_t j = 1; j < len1; j++) { + col[j] = std::min(std::min(1 + col[j - 1], 1 + prevCol[j]), prevCol[j - 1] + (s0[i - 1] == s1[j - 1] ? 0 : 1)); + } + col.swap(prevCol); + } + + const float dist = prevCol[len1 - 1]; + + return 1.0f - (dist / std::max(s0.size(), s1.size())); +} + +int main(int argc, char ** argv) { + whisper_params params; + + if (whisper_params_parse(argc, argv, params) == false) { + return 1; + } + + if (whisper_lang_id(params.language.c_str()) == -1) { + fprintf(stderr, "error: unknown language '%s'\n", params.language.c_str()); + whisper_print_usage(argc, argv, params); + exit(0); + } + + // whisper init + + struct whisper_context * ctx = whisper_init(params.model.c_str()); + + // print some info about the processing + { + fprintf(stderr, "\n"); + if (!whisper_is_multilingual(ctx)) { + if (params.language != "en" || params.translate) { + params.language = "en"; + params.translate = false; + fprintf(stderr, "%s: WARNING: model is not multilingual, ignoring language and translation options\n", __func__); + } + } + fprintf(stderr, "%s: processing, %d threads, lang = %s, task = %s, timestamps = %d ...\n", + __func__, + params.n_threads, + params.language.c_str(), + params.translate ? "translate" : "transcribe", + params.no_timestamps ? 0 : 1); + + fprintf(stderr, "\n"); + } + + + // init audio + + audio_async audio(30*1000); + if (!audio.init(params.capture_id, WHISPER_SAMPLE_RATE)) { + fprintf(stderr, "%s: audio.init() failed!\n", __func__); + return 1; + } + + audio.resume(); + + bool is_running = true; + bool have_prompt = false; + bool ask_prompt = true; + + float prob0 = 0.0f; + float prob = 0.0f; + + std::vector pcmf32_cur; + std::vector pcmf32_prompt; + + const std::string k_prompt = "Ok Whisper, start listening for commands."; + + // main loop + while (is_running) { + // handle Ctrl + C + { + SDL_Event event; + while (SDL_PollEvent(&event)) { + switch (event.type) { + case SDL_QUIT: + { + is_running = false; + } break; + default: + break; + } + } + + if (!is_running) { + break; + } + } + + // delay + std::this_thread::sleep_for(std::chrono::milliseconds(100)); + + if (ask_prompt) { + fprintf(stdout, "\n"); + fprintf(stdout, "%s: Say the following phrase: '%s'\n", __func__, k_prompt.c_str()); + fprintf(stdout, "\n"); + + ask_prompt = false; + } + + int64_t t_ms = 0; + + { + audio.get(2000, pcmf32_cur); + + if (vad_simple(pcmf32_cur, WHISPER_SAMPLE_RATE, 1000, params.vad_thold, params.freq_thold, params.print_energy)) { + fprintf(stdout, "%s: Speech detected!\n", __func__); + + if (!have_prompt) { + audio.get(params.prompt_ms, pcmf32_cur); + + const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob0, t_ms)); + + fprintf(stdout, "%s: Heard '%s', (prob = %6.3f, t = %d ms)\n", __func__, txt.c_str(), prob0, (int) t_ms); + + const float sim = similarity(txt, k_prompt); + + if (txt.length() < 0.8*k_prompt.length() || txt.length() > 1.2*k_prompt.length() || sim < 0.8f) { + fprintf(stdout, "%s: WARNING: prompt not recognized, try again\n", __func__); + ask_prompt = true; + } else { + fprintf(stdout, "\n"); + fprintf(stdout, "%s: The prompt has been recognized!\n", __func__); + fprintf(stdout, "%s: Waiting for voice commands ...\n", __func__); + fprintf(stdout, "\n"); + + // save the audio for the prompt + pcmf32_prompt = pcmf32_cur; + have_prompt = true; + } + } else { + audio.get(params.command_ms, pcmf32_cur); + + // prepend the prompt audio + pcmf32_cur.insert(pcmf32_cur.begin(), pcmf32_prompt.begin(), pcmf32_prompt.end()); + + const auto txt = ::trim(::transcribe(ctx, params, pcmf32_cur, prob, t_ms)); + + printf("prob0 = %6.3f, prob = %6.3f, t = %d ms\n", prob0, prob, (int) t_ms); + prob = 100.0f*(prob - prob0); + + //fprintf(stdout, "%s: heard '%s'\n", __func__, txt.c_str()); + + // find the prompt in the text + float best_sim = 0.0f; + size_t best_len = 0; + for (int n = 0.8*k_prompt.size(); n <= 1.2*k_prompt.size(); ++n) { + const auto prompt = txt.substr(0, n); + + const float sim = similarity(prompt, k_prompt); + + //fprintf(stderr, "%s: prompt = '%s', sim = %f\n", __func__, prompt.c_str(), sim); + + if (sim > best_sim) { + best_sim = sim; + best_len = n; + } + } + + const std::string command = ::trim(txt.substr(best_len)); + + fprintf(stdout, "%s: Command '%s', (prob = %6.3f, t = %d ms)\n", __func__, command.c_str(), prob, (int) t_ms); + fprintf(stdout, "\n"); + } + + audio.clear(); + } + } + } + + audio.pause(); + + whisper_print_timings(ctx); + whisper_free(ctx); + + return 0; +} diff --git a/examples/main/README.md b/examples/main/README.md index f2bf2a8d..f7fce7b8 100644 --- a/examples/main/README.md +++ b/examples/main/README.md @@ -6,29 +6,28 @@ It can be used as a reference for using the `whisper.cpp` library in other proje ``` ./main -h -usage: ./bin/main [options] file0.wav file1.wav ... - - -h, --help show this help message and exit - -s SEED, --seed SEED RNG seed (default: -1) - -t N, --threads N number of threads to use during computation (default: 4) - -p N, --processors N number of processors to use during computation (default: 1) - -ot N, --offset-t N time offset in milliseconds (default: 0) - -on N, --offset-n N segment index offset (default: 0) - -mc N, --max-context N maximum number of text context tokens to store (default: max) - -ml N, --max-len N maximum segment length in characters (default: 0) - -wt N, --word-thold N word timestamp probability threshold (default: 0.010000) - -v, --verbose verbose output - --translate translate from source language to english - -otxt, --output-txt output result in a text file - -ovtt, --output-vtt output result in a vtt file - -osrt, --output-srt output result in a srt file - -owts, --output-words output script for generating karaoke video - -ps, --print_special print special tokens - -pc, --print_colors print colors - -nt, --no_timestamps do not print timestamps - -l LANG, --language LANG spoken language (default: en) - -m FNAME, --model FNAME model path (default: models/ggml-base.en.bin) - -f FNAME, --file FNAME input WAV file path - -h, --help show this help message and exit +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 + -wt N, --word-thold N [0.01 ] word timestamp probability threshold + -su, --speed-up [false ] speed up audio by x2 (reduced accuracy) + -tr, --translate [false ] translate from source language to english + -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 + -ps, --print-special [false ] print special tokens + -pc, --print-colors [false ] print colors + -nt, --no-timestamps [true ] do not print timestamps + -l LANG, --language LANG [en ] spoken language + -m FNAME, --model FNAME [models/ggml-base.en.bin] model path + -f FNAME, --file FNAME [ ] input WAV file path ``` diff --git a/examples/main/main.cpp b/examples/main/main.cpp index 27c5237d..2b9f2e17 100644 --- a/examples/main/main.cpp +++ b/examples/main/main.cpp @@ -132,7 +132,7 @@ void whisper_print_usage(int argc, char ** argv, const whisper_params & params) fprintf(stderr, " -d N, --duration N [%-7d] duration of audio to process in milliseconds\n", params.duration_ms); fprintf(stderr, " -mc N, --max-context N [%-7d] maximum number of text context tokens to store\n", params.max_context); fprintf(stderr, " -ml N, --max-len N [%-7d] maximum segment length in characters\n", params.max_len); - fprintf(stderr, " -wt N, --word-thold N [%-7f] word timestamp probability threshold\n", params.word_thold); + fprintf(stderr, " -wt N, --word-thold N [%-7.2f] word timestamp probability threshold\n", params.word_thold); fprintf(stderr, " -su, --speed-up [%-7s] speed up audio by x2 (reduced accuracy)\n", params.speed_up ? "true" : "false"); fprintf(stderr, " -tr, --translate [%-7s] translate from source language to english\n", params.translate ? "true" : "false"); fprintf(stderr, " -otxt, --output-txt [%-7s] output result in a text file\n", params.output_txt ? "true" : "false");