license: mit basemodel: onnx-community/silero-vad basemodelrelation: quantized pipelinetag: voice-activity-detection libraryname: onnxruntime language: multilingual tags: onnx onnxruntime silero-vad vad...
Modellquelle
Quellenbeschreibung
FP16 ONNX export of Silero VAD, an open-weight voice activity detection model. The immediate upstream source is onnx-community/silero-vad; the original model is from the Silero team (snakers4/silero-vad on GitHub). This is not a newly trained model.
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1 QuelleVerifiziert 17. Juli
Modellartefakte
1 ArtefaktQuellenauszüge
3 Auszüge| Field | Value |
|---|
| Upstream model | onnx-community/silero-vad |
| Upstream source revision | e71cae966052b992a7eca6b17738916ce0eca4ec |
| Export tool/script | Mirrored from onnx-community (no re-export) |
| Quantization recipe | FP16 ONNX mirrored from onnx/model_fp16.onnx |
| Original model | snakers4/silero-vad (GitHub) |
| File | Size | Description |
|---|---|---|
onnx/model_fp16.onnx | ~1 MB | FP16 ONNX model |
Voice activity detection for local inference via ONNX Runtime. VAD identifies segments of
audio that contain speech versus silence or background noise. The FP16 variant targets
GPU execution; the INT8 variant is in
tonythethompson/silero-vad-int8-onnx.
Silero VAD is language-agnostic and works across a wide range of languages.
Export tooling, precision, and quantization are recorded in the Source table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use.
MIT — inherited from
onnx-community/silero-vad and the original Silero VAD model. This packaging repo adds
no new license terms.
--- license: mit base_model: onnx-community/silero-vad base_model_relation: quantized pipeline_tag: voice-activity-detection library_name: onnxruntime language: - multilingual tags: - onnx - onnxruntime - silero-vad - vad - voice-activity-detection - fp16 - audio --- # Silero VAD — FP16 ONNX FP16 ONNX export of Silero VAD, an open-weight voice activity detection model. The immediate upstream source is [onnx-community/silero-vad](https://huggingface.co/onnx-community/silero-vad); the original model is from the Silero team (snakers4/silero-vad on GitHub). This is not a newly trained model. ## Source | Field | Value | |---|---| | Upstream model | [onnx-community/silero-vad](https://huggingface.co/onnx-community/silero-vad) | | Upstream source revision | `e71cae966052b992a7eca6b17738916ce0eca4ec` | | Export tool/script | Mirrored from onnx-community (no re-export) | | Quantization recipe | FP16 ONNX mirrored from `onnx/model_fp16.onnx` | | Original model | [snakers4/silero-vad](https://github.com/snakers4/silero-vad) (GitHub) | ## Files | File | Size | Description | |---|---|---| | `onnx/model_fp16.onnx` | ~1 MB | FP16 ONNX model | ## Intended Use Voice activity detection for local inference via ONNX Runtime. VAD identifies segments of audio that contain speech versus silence or background noise. The FP16 variant targets GPU execution; the INT8 variant is in [`tonythethompson/silero-vad-int8-onnx`](https://huggingface.co/tonythethompson/silero-vad-int8-onnx). Silero VAD is language-agnostic and works across a wide range of languages. ## Runtime Notes - Designed for ONNX Runtime compatible runtimes. - Expected input: 16 kHz mono audio (Silero VAD requirement). - Execution: GPU (CUDA) preferred for FP16. Validate on the target execution provider before production use. ## Precision and Packaging Export tooling, precision, and quantization are recorded in the **Source** table above. This packaging mirror does not publish independent parity benchmarks; validate on your target execution provider before production use. ## Limitations - Requires 16 kHz mono audio input; other sample rates must be resampled. - FP16 precision may cause degraded detection on hardware that upcasts silently. - No repository-specific VAD quality benchmark is documented here. - Performance on very noisy or music-heavy audio is not evaluat...
Source context: 0 downloads · 0 likes · Pipeline voice-activity-detection · Library onnxruntime · Repo tonythethompson/Silero-VAD-FP16-ONNX
Source context: 0 downloads · 0 likes · Pipeline voice-activity-detection · Library onnxruntime · Repo tonythethompson/trackdub-silero-vad-fp16