Silero VAD: pre-trained enterprise-grade Voice Activity Detector
Silero VAD detects which parts of an audio stream contain speech, in under a millisecond per chunk — essential for real-time voice pipelines.

Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeSilero VAD: pre-trained enterprise-grade Voice Activity Detector
silero-vad has 10.1k stars on GitHub. It has been forked 838 times. silero-vad is written mainly in Python. It has been in active development since 2020. silero-vad is available under the MIT license. Its main topics are onnx, onnx-runtime, onnxruntime, pytorch.
Read the full guideSilero VAD: pre-trained enterprise-grade Voice Activity Detector
silero-vad is an open-source project. It is released under the MIT license.
Yes. silero-vad is free and open source — you can use, modify and self-host it.
silero-vad is available under the MIT license.
silero-vad is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/snakers4-silero-vad.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.