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https://github.com/snakers4/silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
https://github.com/snakers4/silero-vad
onnx pytorch voice-activity-detection voice-commands voice-control voice-detection voice-recognition
Last synced: about 15 hours ago
JSON representation
Silero VAD: pre-trained enterprise-grade Voice Activity Detector
- Host: GitHub
- URL: https://github.com/snakers4/silero-vad
- Owner: snakers4
- License: mit
- Created: 2020-11-23T09:54:16.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2024-06-21T13:31:27.000Z (1 day ago)
- Last Synced: 2024-06-22T06:06:48.528Z (about 20 hours ago)
- Topics: onnx, pytorch, voice-activity-detection, voice-commands, voice-control, voice-detection, voice-recognition
- Language: Python
- Homepage:
- Size: 86.6 MB
- Stars: 3,122
- Watchers: 42
- Forks: 333
- Open Issues: 20
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Lists
- my-awesome-stars - snakers4/silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector, Language Classifier and Spoken Number Detector (Python)
- awesome-vad - snakers4/silero-*vad* - trained enterprise-grade Voice Activity Detector, Language Classifier and Spoken Number Detector (Uncategorized / Uncategorized)
- awesome-stars-copy - snakers4/silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector (Python)
- awesome-stars - snakers4/silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector (Python)
- awesome-stars - snakers4/silero-vad - Silero VAD: pre-trained enterprise-grade Voice Activity Detector (Python)
README
[](mailto:[email protected]) [](https://t.me/silero_speech) [](https://github.com/snakers4/silero-vad/blob/master/LICENSE)
[](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb)
Silero VAD
**Silero VAD** - pre-trained enterprise-grade [Voice Activity Detector](https://en.wikipedia.org/wiki/Voice_activity_detection) (also see our [STT models](https://github.com/snakers4/silero-models)).
Real Time Example
https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-9be7-004c891dd481.mp4
Key Features
- **Stellar accuracy**
Silero VAD has [excellent results](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#vs-other-available-solutions) on speech detection tasks.
- **Fast**
One audio chunk (30+ ms) [takes](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics#silero-vad-performance-metrics) less than **1ms** to be processed on a single CPU thread. Using batching or GPU can also improve performance considerably. Under certain conditions ONNX may even run up to 4-5x faster.
- **Lightweight**
JIT model is around one megabyte in size.
- **General**
Silero VAD was trained on huge corpora that include over **100** languages and it performs well on audios from different domains with various background noise and quality levels.
- **Flexible sampling rate**
Silero VAD [supports](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#sample-rate-comparison) **8000 Hz** and **16000 Hz** [sampling rates](https://en.wikipedia.org/wiki/Sampling_(signal_processing)#Sampling_rate).
- **Flexible chunk size**
Model was trained on **30 ms**. Longer chunks are supported directly, others may work as well.
- **Highly Portable**
Silero VAD reaps benefits from the rich ecosystems built around **PyTorch** and **ONNX** running everywhere where these runtimes are available.
- **No Strings Attached**
Published under permissive license (MIT) Silero VAD has zero strings attached - no telemetry, no keys, no registration, no built-in expiration, no keys or vendor lock.
Typical Use Cases
- Voice activity detection for IOT / edge / mobile use cases
- Data cleaning and preparation, voice detection in general
- Telephony and call-center automation, voice bots
- Voice interfaces
Links
- [Examples and Dependencies](https://github.com/snakers4/silero-vad/wiki/Examples-and-Dependencies#dependencies)
- [Quality Metrics](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics)
- [Performance Metrics](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics)
- [Versions and Available Models](https://github.com/snakers4/silero-vad/wiki/Version-history-and-Available-Models)
- [Further reading](https://github.com/snakers4/silero-models#further-reading)
- [FAQ](https://github.com/snakers4/silero-vad/wiki/FAQ)
Get In Touch
Try our models, create an [issue](https://github.com/snakers4/silero-vad/issues/new), start a [discussion](https://github.com/snakers4/silero-vad/discussions/new), join our telegram [chat](https://t.me/silero_speech), [email](mailto:[email protected]) us, read our [news](https://t.me/silero_news).
Please see our [wiki](https://github.com/snakers4/silero-models/wiki) and [tiers](https://github.com/snakers4/silero-models/wiki/Licensing-and-Tiers) for relevant information and [email](mailto:[email protected]) us directly.
**Citations**
```
@misc{Silero VAD,
author = {Silero Team},
title = {Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/snakers4/silero-vad}},
commit = {insert_some_commit_here},
email = {[email protected]}
}
```
Examples and VAD-based Community Apps
- Example of VAD ONNX Runtime model usage in [C++](https://github.com/snakers4/silero-vad/tree/master/examples/cpp)
- Voice activity detection for the [browser](https://github.com/ricky0123/vad) using ONNX Runtime Web