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@ -8,6 +8,7 @@ High-performance inference of [OpenAI's Whisper](https://github.com/openai/whisp
- Low memory usage (Flash Attention + Flash Forward)
- Zero memory allocations at runtime
- Runs on the CPU (Mac and Linux)
- [C-style API](https://github.com/ggerganov/whisper.cpp/blob/master/whisper.h)
Incoming features:
- [Realtime audio input transcription](https://github.com/ggerganov/whisper.cpp/issues/10#issuecomment-1264665959)
@ -208,6 +209,17 @@ main: decode time = 14907.22 ms
main: total time = 57416.63 ms
```
## Real-time audio input example
This is a naive example of performing real-time inference on audio from your microphone.
The `stream` tool samples the audio every 3 seconds and runs the transcription continously. More info is available in [issue #10](https://github.com/ggerganov/whisper.cpp/issues/10).
```java
$ ./stream -m models/ggml-small.en.bin -t 8
```
https://user-images.githubusercontent.com/1991296/193465125-c163d304-64f6-4f5d-83e5-72239c9a203e.mp4
## Limitations
- Very basic greedy sampling scheme - always pick up the top token