# whisper.cpp/examples/stream This is a naive example of performing real-time inference on audio from your microphone. The `whisper-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). ```bash ./build/bin/whisper-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 ## Sliding window mode with VAD Setting the `--step` argument to `0` enables the sliding window mode: ```bash ./build/bin/whisper-stream -m ./models/ggml-base.en.bin -t 6 --step 0 --length 30000 -vth 0.6 ``` In this mode, the tool will transcribe only after some speech activity is detected. A very basic VAD detector is used, but in theory a more sophisticated approach can be added. The `-vth` argument determines the VAD threshold - higher values will make it detect silence more often. It's best to tune it to the specific use case, but a value around `0.6` should be OK in general. When silence is detected, it will transcribe the last `--length` milliseconds of audio and output a transcription block that is suitable for parsing. ## Output format The output format depends on --step, and there is no flag to override it. Default (--step > 0): one rolling segment, no timestamps, rewritten in place with ANSI erase-line escapes. Fine for a terminal, wrong for a pipe. VAD mode (--step 0): timestamped blocks meant for parsing. ### Transcription 0 START | t0 = 0 ms | t1 = 4000 ms [00:00:00.000 --> 00:00:03.480] Hello there. ### Transcription 0 END - timestamps are enabled implicitly by --step 0; there is no -nt here - strip the [t0 --> t1] prefix; don't discard those lines as log noise - -tdrz appends [SPEAKER_TURN] on a speaker change - the ### markers and [Start speaking] are on stdout ## Model path -m is relative to the process CWD and defaults to models/ggml-base.en.bin. Spawning whisper-stream from a parent with a different CWD needs an absolute path, or you get: error: failed to initialize whisper context which is also what a corrupt model prints, so check the path first. ## Building The `whisper-stream` tool depends on SDL2 library to capture audio from the microphone. You can build it like this: ```bash # Install SDL2 # On Debian based linux distributions: sudo apt-get install libsdl2-dev # On Fedora Linux: sudo dnf install SDL2 SDL2-devel # Install SDL2 on Mac OS brew install sdl2 cmake -B build -DWHISPER_SDL2=ON cmake --build build --config Release ./build/bin/whisper-stream ``` ## Web version This tool can also run in the browser: [examples/stream.wasm](/examples/stream.wasm)