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Trackdub Silero Vad FP16

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)....

Sourcehuggingface.co/tonythethompson/Silero-VAD-FP16-ONNX/tree/5004fbf93edd0450dfeed61f05600513c2b7fc5c
KindObject detectorBase modelonnx-community/silero-vadVersionRevision 5004fbfPublisher@tonythethompsonCgrade

Model source

Kind
Object detector
File size
1.10 MB
Base model
onnx-community/silero-vad
Version
vRevision 5004fbf
Updated
Oct 3, 2026
Publisher
@tonythethompson
Downloads
0
Source
Hugging Face

Source description

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; the original model is from the Silero team (snakers4/silero-vad on GitHub). This is not a newly trained model.

Source

FieldValue
Upstream modelonnx-community/silero-vad
Upstream source revisione71cae966052b992a7eca6b17738916ce0eca4ec
Export tool/scriptMirrored from onnx-community (no re-export)
Quantization recipeFP16 ONNX mirrored from onnx/model_fp16.onnx
Original modelsnakers4/silero-vad (GitHub)

Files

FileSizeDescription
onnx/model_fp16.onnx~1 MBFP16 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. 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 evaluated here.

License

MIT — inherited from onnx-community/silero-vad and the original Silero VAD model. This packaging repo adds no new license terms.

Sources

1 source
Hugging FacePrimaryVersion 5004fbf93edd0450dfeed61f05600513c2b7fc5c
huggingface.co/tonythethompson/Silero-VAD-FP16-ONNX/tree/5004fbf93edd0450dfeed61f05600513c2b7fc5c

Verified Oct 3

Model artifacts

1 artifact

onnx/model_fp16.onnx

onnx · 1.10 MB · SHA-256 7ed49c2c170a…d53b · Hugging Face

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Source excerpts

3 excerpts
ReadmeJul 11huggingface.co/tonythethompson/Silero-VAD-FP16-ONNX

--- 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...

NoteJul 11huggingface.co/tonythethompson/Silero-VAD-FP16-ONNX

Source context: 0 downloads · 0 likes · Pipeline voice-activity-detection · Library onnxruntime · Repo tonythethompson/Silero-VAD-FP16-ONNX

NoteJun 15huggingface.co/api/models/tonythethompson/trackdub-silero-vad-fp16

Source context: 0 downloads · 0 likes · Pipeline voice-activity-detection · Library onnxruntime · Repo tonythethompson/trackdub-silero-vad-fp16