* feat(vad): replace amplitude-based VAD with Silero neural network
Replace the simple amplitude threshold VAD with Silero VAD, a lightweight
neural network model that classifies audio as speech/non-speech. This
addresses the root cause of #302 (silence not stopping recording) and
- Add silero_vad.py wrapper using ONNX Runtime with bundled Silero v5 model
- Accumulate 512-sample chunks with 64-sample context window per official API
- Map existing vad_sensitivity (1-5) to Silero thresholds (0.8-0.3)
- Use max() across sub-chunks to avoid missing speech onsets
- Fall back to amplitude VAD when onnxruntime is unavailable
- Add onnxruntime as optional dependency (pip install vocalinux[vad])
Closes#344
* address review: add tests, LICENSE, logging, validation fixes
- Add unit tests for SileroVAD (process, reset, fallback, sensitivity mapping)
- Add MIT LICENSE for bundled Silero VAD model in data/
- Log which VAD backend is active on init
- Validate chunk length in SileroVAD.process()
- Skip is_speech check until a full Silero chunk is processed
- Add thread safety note to SileroVAD docstring
- Document resampling rate effect on VAD resolution
- Comment explaining why load_silero_vad() catches broad Exception
* address review: bundle license, document [vad] extra, surface backend in UI
- Pack data/LICENSE into the wheel (pyproject package-data) so attribution
travels with the model
- README: short note on enabling neural VAD via vocalinux[vad]
- Settings: VAD Sensitivity row subtitle shows the active backend; if
onnxruntime is missing, an info-row beneath the group spells out the
install command and the restart requirement
- silero_vad.is_silero_available() probes onnxruntime + model presence
w/o instantiating an InferenceSession
- CI installs .[dev,vad] so Silero paths get exercised
- Integration test for _record_audio Silero branch (mocked pyaudio +
scripted SileroVAD), covering silence flush, speech reset, and
sensitivity threshold mapping at sens=1 vs sens=5
- Tests no longer skip when other modules globally mock numpy: pop the
top-level numpy ref so a fresh import gives the real package, and
swap sys.modules["numpy"] inside the _record_audio call so the lazy
import inside the function picks up real numpy too
* fix(vad): drop silence-only recording buffers
* test(vad): align stop buffer expectations
* test(vad): preserve real numpy module
* fix(install): install vad support opportunistically
* test(vad): cover recognition manager vad edges
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Co-authored-by: Sbenazar <127324689+Sbenazar@users.noreply.github.com>
