silero-vad

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![header](https://user-images.githubusercontent.com/12515440/89997349-b3523080-dc94-11ea-9906-ca2e8bc50535.png)

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<h1 align="center">Silero VAD</h1>
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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)).

<br/>

<p align="center">
  <img src="https://github.com/user-attachments/assets/dfd29c4f-226a-4687-8bea-e8faaaee0287" />
</p>


<details>
<summary>Real Time Example</summary>

https://user-images.githubusercontent.com/36505480/144874384-95f80f6d-a4f1-42cc-9be7-004c891dd481.mp4

Please note, that video loads only if you are logged in your GitHub account. 

</details>

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<h2 align="center">Fast start</h2>
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<details>
<summary>Dependencies</summary>

  System requirements to run python examples on `x86-64` systems:
  
  - `python 3.8+`;
  - 1G+ RAM;
  - A modern CPU with AVX, AVX2, AVX-512 or AMX instruction sets.

  Required:
  
  - `torch>=1.12.0`.
  
  Everything else is optional and installed via extras:
  
  | Extra | Installs | Needed for |
  |---|---|---|
  | `silero-vad[audio]` | `torchaudio>=0.12.0,<2.10`, plus `torchcodec` on Python 3.9+ | `read_audio` / `save_audio` |
  | `silero-vad[codec]` | `torchcodec` | `read_audio` / `save_audio` with no torchaudio at all |
  | `silero-vad[onnx-cpu]` | `onnxruntime>=1.16.1`, `numpy` | ONNX and sequence models |
  | `silero-vad[onnx-gpu]` | `onnxruntime-gpu>=1.16.1`, `numpy` | ONNX on GPU |
  | `silero-vad[all]` | all of the above | everything |
  
  `[audio]` pulls in torchcodec on Python 3.9+ because `torchaudio>=2.9` hands decoding over to it and does not work without it; on Python 3.8 pip resolves an older torchaudio that decodes on its own. torchcodec itself needs FFmpeg (4-9) on the system.
  
  The model itself needs only `torch` — if you already load audio yourself, pass