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betterflow-silero-vad
mobilebytesensei/betterflow-silero-vad
betterflow-silero-vad is a voice activity detection model from mobilebytesensei. Use it for the voice activity detection task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
silerovad.onnx as distributed in the k2-fsa/sherpa-onnx asr-models release. Mirrored here only so betterflow can pin an immutable revision and verify a sha256 at install time; the weights are unmodified.
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Public
Updated Jul 22, 2026
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644 KB
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At a glance
- Task
- Voice Activity Detection
- License
- mit
- Access
- Public
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026
- SHA
- 0ae41137
Model card
From the Hugging Face model README
betterflow — Silero VAD
silero_vad.onnx as distributed in the k2-fsa/sherpa-onnx
asr-models release. Mirrored here only so betterflow can pin an immutable revision and verify a
sha256 at install time; the weights are unmodified.
Used to cut a dictated utterance into VAD-endpointed phrases so each decodes independently, which lets the first text reach the user without waiting for the whole decode.
- ONNX input
xis fixed at shape [1, 512] — 512 samples at 16 kHz, per call. Not configurable. - Self-describes as silero-vad v4 exported by k2-fsa, 16 kHz branch only.
- sha256:
9e2449e1087496d8d4caba907f23e0bd3f78d91fa552479bb9c23ac09cbb1fd6 - Upstream: https://github.com/snakers4/silero-vad (MIT)
- Task
- Voice Activity Detection
- License
- mit
- Created
- Jul 22, 2026
- Updated
- Jul 22, 2026