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README.md
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license: mit
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base_model: onnx-community/silero-vad
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base_model_relation: quantized
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pipeline_tag: voice-activity-detection
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library_name: onnxruntime
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language:
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- multilingual
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tags:
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- onnx
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- onnxruntime
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- silero-vad
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- vad
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- voice-activity-detection
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- int8
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- quantized
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- audio
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---
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# Silero VAD — INT8 ONNX
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INT8-quantized ONNX export of Silero VAD, an open-weight voice activity detection model.
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The immediate upstream source is
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[onnx-community/silero-vad](https://huggingface.co/onnx-community/silero-vad); the
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original model is from the Silero team (snakers4/silero-vad on GitHub). This is not a
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newly trained model.
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## Source
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| Field | Value |
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| Upstream
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| Quantization recipe | Pre-quantized INT8 ONNX mirrored from `onnx
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---
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license: mit
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base_model: onnx-community/silero-vad
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base_model_relation: quantized
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pipeline_tag: voice-activity-detection
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library_name: onnxruntime
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language:
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- multilingual
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tags:
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- onnx
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- onnxruntime
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- silero-vad
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- vad
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- voice-activity-detection
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- int8
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- quantized
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- audio
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---
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# Silero VAD — INT8 ONNX
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INT8-quantized ONNX export of Silero VAD, an open-weight voice activity detection model.
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The immediate upstream source is
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[onnx-community/silero-vad](https://huggingface.co/onnx-community/silero-vad); the
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original model is from the Silero team (snakers4/silero-vad on GitHub). This is not a
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newly trained model.
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## Source
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| Field | Value |
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|---|---|
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| Upstream model | [onnx-community/silero-vad](https://huggingface.co/onnx-community/silero-vad) |
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| Upstream source revision | `e71cae966052b992a7eca6b17738916ce0eca4ec` |
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| Export tool/script | Mirrored from onnx-community (no re-export) |
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| Quantization recipe | Pre-quantized INT8 ONNX mirrored from `onnx/model_int8.onnx` |
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| Original model | [snakers4/silero-vad](https://github.com/snakers4/silero-vad) (GitHub) |
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## Files
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| File | Size | Description |
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|---|---|---|
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| `onnx/model_int8.onnx` | ~624 KB | INT8 ONNX model |
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## Intended Use
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Voice activity detection for local inference via ONNX Runtime. The INT8 variant is the
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CPU/low-resource build: smaller and faster on CPU than the FP16 variant. The FP16 variant
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is in [`tonythethompson/silero-vad-fp16-onnx`](https://huggingface.co/tonythethompson/silero-vad-fp16-onnx).
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Silero VAD is language-agnostic and works across a wide range of languages.
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## Runtime Notes
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- Designed for ONNX Runtime compatible runtimes.
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- Expected input: 16 kHz mono audio (Silero VAD requirement).
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- INT8 is broadly compatible across CPU hardware (x86-64, ARM). Validate on the target
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execution provider before production use.
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## Precision and Packaging
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INT8 quantization from the ONNX Community export (mirrored unchanged). Some accuracy loss relative to FP16/FP32 is expected,
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but Silero VAD is small and INT8 quality is generally acceptable for VAD. No parity
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benchmark is documented here.
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## Limitations
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- Requires 16 kHz mono audio input; other sample rates must be resampled.
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- INT8 may reduce detection sensitivity at the margins (very quiet or very short speech).
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- No repository-specific VAD quality benchmark is documented here.
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## License
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[MIT](https://choosealicense.com/licenses/mit/) — inherited from
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`onnx-community/silero-vad` and the original Silero VAD model. This packaging repo adds
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no new license terms.
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