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95 lines
4.4 KiB
Markdown
95 lines
4.4 KiB
Markdown
[](mailto:hello@silero.ai) [](https://t.me/silero_speech) [](https://github.com/snakers4/silero-vad/blob/master/LICENSE)
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[](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb)
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<br/>
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<h1 align="center">Silero VAD</h1>
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<br/>
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**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)).
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<br/>
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<p align="center">
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<img src="https://user-images.githubusercontent.com/36505480/145007002-8473f909-5985-4942-bbcf-9ac86d156c2f.png" />
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</p>
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<details>
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<summary>Real Time Example</summary>
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https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-9be7-004c891dd481.mp4
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</details>
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<br/>
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<h2 align="center">Key Features</h2>
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<br/>
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- **High accuracy**
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Silero VAD has [excellent results](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics#vs-other-available-solutions) on speech detection tasks.
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- **Fast**
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One audio chunk (30+ ms) [takes](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics#silero-vad-performance-metrics) around **1ms** to be processed on a single CPU thread. Using batching or GPU can also improve performance considerably.
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- **Lightweight**
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JIT model is less than one megabyte in size.
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- **General**
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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.
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- **Flexible sampling rate**
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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).
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- **Flexible chunk size**
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Model was trained on audio chunks of different lengths. **30 ms**, **60 ms** and **100 ms** long chunks are supported directly, others may work as well.
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<br/>
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<h2 align="center">Typical Use Cases</h2>
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<br/>
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- Voice activity detection for IOT / edge / mobile use cases
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- Data cleaning and preparation, voice detection in general
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<br/>
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<h2 align="center">Links</h2>
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<br/>
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- [Examples and Dependencies](https://github.com/snakers4/silero-vad/wiki/Examples-and-Dependencies#dependencies)
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- [Quality Metrics](https://github.com/snakers4/silero-vad/wiki/Quality-Metrics)
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- [Performance Metrics](https://github.com/snakers4/silero-vad/wiki/Performance-Metrics)
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- Number Detector and Language classifier [models](https://github.com/snakers4/silero-vad/wiki/Other-Models)
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- [Versions and Available Models](https://github.com/snakers4/silero-vad/wiki/Version-history-and-Available-Models)
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<br/>
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<h2 align="center">Get In Touch</h2>
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<br/>
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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:hello@silero.ai) us, read our [news](https://t.me/silero_news).
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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:hello@silero.ai) us directly.
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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:hello@silero.ai) us directly.
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**Citations**
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```
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@misc{Silero VAD,
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author = {Silero Team},
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title = {Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier},
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year = {2021},
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publisher = {GitHub},
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journal = {GitHub repository},
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howpublished = {\url{https://github.com/snakers4/silero-vad}},
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commit = {insert_some_commit_here},
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email = {hello@silero.ai}
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}
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```
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