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server : add Voice Activity Detection (VAD) support (#3246)

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* server : add Voice Activity Detection (VAD) support

This commit adds support for Voice Activity Detection (VAD) in the
server example.

The motivation for this is to enable VAD processing when using
whisper-server.

Resolves: https://github.com/ggml-org/whisper.cpp/issues/3089

* server : add VAD parameters to usage in README.md [no ci]

This commit also adds a few missing parameters.

* server : fix conflicting short options [no ci]
This commit is contained in:
Daniel Bevenius
2025-06-13 13:24:03 +02:00
committed by GitHub
parent 9df8d54bcb
commit 0a4d85cf8a
2 changed files with 91 additions and 0 deletions
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examples/server/README.md
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@@ -23,6 +23,7 @@ options:
-sow, --split-on-word [false ] split on word rather than on token
-bo N, --best-of N [2 ] number of best candidates to keep
-bs N, --beam-size N [-1 ] beam size for beam search
-ac N, --audio-ctx N [0 ] audio context size (0 - all)
-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
@@ -41,9 +42,28 @@ options:
--prompt PROMPT [ ] initial prompt
-m FNAME, --model FNAME [models/ggml-base.en.bin] model path
-oved D, --ov-e-device DNAME [CPU ] the OpenVINO device used for encode inference
-dtw MODEL --dtw MODEL [ ] compute token-level timestamps
--host HOST, [127.0.0.1] Hostname/ip-adress for the server
--port PORT, [8080 ] Port number for the server
--public PATH, [examples/server/public] Path to the public folder
--request-path PATH, [ ] Request path for all requests
--inference-path PATH, [/inference] Inference path for all requests
--convert, [false ] Convert audio to WAV, requires ffmpeg on the server
-sns, --suppress-nst [false ] suppress non-speech tokens
-nth N, --no-speech-thold N [0.60 ] no speech threshold
-nc, --no-context [false ] do not use previous audio context
-ng, --no-gpu [false ] do not use gpu
-fa, --flash-attn [false ] flash attention
Voice Activity Detection (VAD) options:
--vad [false ] enable Voice Activity Detection (VAD)
-vm FNAME, --vad-model FNAME [ ] VAD model path
-vt N, --vad-threshold N [0.50 ] VAD threshold for speech recognition
-vspd N, --vad-min-speech-duration-ms N [250 ] VAD min speech duration (0.0-1.0)
-vsd N, --vad-min-silence-duration-ms N [100 ] VAD min silence duration (to split segments)
-vmsd N, --vad-max-speech-duration-s N [FLT_MAX] VAD max speech duration (auto-split longer)
-vp N, --vad-speech-pad-ms N [30 ] VAD speech padding (extend segments)
-vo N, --vad-samples-overlap N [0.10 ] VAD samples overlap (seconds between segments)
```
> [!WARNING]