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@ -11,9 +11,6 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
- Supported platforms: Linux, Mac OS (Intel and Arm), Raspberry Pi, Android
Incoming features:
- [Realtime audio input transcription](https://github.com/ggerganov/whisper.cpp/issues/10#issuecomment-1264665959)
## Usage
To build the main program, run `make`. You can then transcribe a `.wav` file like this:
@ -221,10 +218,10 @@ https://user-images.githubusercontent.com/1991296/193465125-c163d304-64f6-4f5d-8
## Implementation details
- The core tensor operations are implemented in C (`ggml.h` / `ggml.c`)
- The high-level C-style API is implemented in C++ (`whisper.h` / `whisper.cpp`)
- Simple usage is demonstrated in `main.cpp`
- Sample real-time audio transcription from the microphone is demonstrated in `stream.cpp`
- The core tensor operations are implemented in C ([ggml.h](ggml.h) / [ggml.c](ggml.c))
- The high-level C-style API is implemented in C++ ([whisper.h](whisper.h) / [whisper.cpp](whisper.cpp))
- Simple usage is demonstrated in [main.cpp](main.cpp)
- Sample real-time audio transcription from the microphone is demonstrated in [stream.cpp](stream.cpp)
## Limitations