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2021-02-11 18:38:23 +02:00
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# Silero VAD
![image](https://user-images.githubusercontent.com/12515440/106419932-a7d50a80-646a-11eb-8f2b-00b454ed9b98.png)
![image](https://user-images.githubusercontent.com/36505480/107667211-06cf2680-6c98-11eb-9ee5-37eb4596260f.png)
**Silero VAD: pre-trained enterprise-grade Voice Activity Detector (VAD), Number Detector and Language Classifier.**
Enterprise-grade Speech Products made refreshingly simple (see our [STT](https://github.com/snakers4/silero-models) models).
@@ -60,6 +60,7 @@ The models are small enough to be included directly into this repository. Newer
| model= | Params | Model type | Streaming | Languages | PyTorch | ONNX | Colab |
|--------------------------------|--------|---------------------|--------------------|----------------|---------|------|-------|
| `'silero_vad'` | 1.1M | VAD | Yes | `ru`, `en`, `de`, `es` (*) | :heavy_check_mark: | :heavy_check_mark: | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) |
| `'silero_vad_micro'` | 10K | VAD | Yes | `ru`, `en`, `de`, `es` (*) | :heavy_check_mark: | :heavy_check_mark: | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) |
| `'silero_number_detector'` | 1.1M | Number Detector | No | `ru`, `en`, `de`, `es` | :heavy_check_mark: | :heavy_check_mark: | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) |
| `'silero_lang_detector'` | 1.1M | Language Classifier | No | `ru`, `en`, `de`, `es` | :heavy_check_mark: | :heavy_check_mark: | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) |
@@ -79,6 +80,7 @@ What models do:
| `v1.1` | 2020-12-24 | better vad models compatible with chunks shorter than 250 ms
| `v1.2` | 2020-12-30 | Number Detector added
| `v2` | 2021-01-11 | Add Language Classifier heads (en, ru, de, es) |
| `v2.1` | 2021-02-11 | Add micro (10k params) VAD models |
### PyTorch
@@ -333,7 +335,7 @@ Since our VAD (only VAD, other networks are more flexible) was trained on chunks
[Auditok](https://github.com/amsehili/auditok) - logic same as Webrtc, but we use 50ms frames.
![image](https://user-images.githubusercontent.com/12515440/106419932-a7d50a80-646a-11eb-8f2b-00b454ed9b98.png)
![image](https://user-images.githubusercontent.com/36505480/107667211-06cf2680-6c98-11eb-9ee5-37eb4596260f.png)
## FAQ