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* add vad example * fix typo * fix typo * rename file * remove model and wav * delete Vad.cc * delete Vad.h * rename and format * fix max and min * update readme * rename var * format * add params * update readme * update readme * Update README.md * Update README_CN.md Co-authored-by: DefTruth <31974251+DefTruth@users.noreply.github.com>
42 lines
1.6 KiB
Markdown
42 lines
1.6 KiB
Markdown
English | [简体中文](README_CN.md)
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# Silero VAD - pre-trained enterprise-grade Voice Activity Detector
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The deployment model comes from [silero-vad](https://github.com/snakers4/silero-vad)
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## Key Features
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* Stellar accuracy
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Silero VAD has excellent results on speech detection tasks.
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* Fast
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One audio chunk (30+ ms) takes less than 1ms to be processed on a single CPU thread. Using batching or GPU can also improve performance considerably.
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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 8000 Hz and 16000 Hz sampling rates.
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## Download Pre-trained ONNX Model
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For developers' testing, model exported by VAD are provided below. Developers can download them directly.
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| 模型 | 大小 | 备注 |
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| :----------------------------------------------------------- | :---- | :----------------------------------------------------------- |
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| [silero-vad](https://bj.bcebos.com/paddlehub/fastdeploy/silero_vad.tgz) | 1.8MB | This model file is sourced from [snakers4/silero-vad](https://github.com/snakers4/silero-vad)，MIT License |
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## Detailed Deployment Documents
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- [C++ deployment](cpp)
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## Source
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[https://github.com/snakers4/silero-vad](https://github.com/snakers4/silero-vad)
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