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silero-vad
safestack/silero-vad
silero-vad is a audio classification model from safestack. Use it for the audio classification task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Mirror of pretrained Silero Voice Activity Detector model files.
Access
Public
Updated Jul 21, 2026
Repo size
12.5 MB
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0
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Repo makeup
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.onnx9 MB · 72%
At a glance
- Task
- Audio Classification
- License
- mit
- Access
- Public
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026
- SHA
- 8a63e2e8
Model card
From the Hugging Face model README
Silero VAD
Mirror of pretrained Silero Voice Activity Detector model files.
Original project:
https://github.com/snakers4/silero-vad
Included formats
- ONNX
- PyTorch JIT
Supported sample rates
- 8000 Hz
- 16000 Hz
Usage
Install the official package:
pip install silero-vad
Example:
from silero_vad import load_silero_vad
model = load_silero_vad()
The model artifacts in this repository originate from the official Silero VAD project.
License
MIT License. See the LICENSE file.
Attribution
Original model and implementation by the Silero Team.
- Task
- Audio Classification
- License
- mit
- Created
- Jul 21, 2026
- Updated
- Jul 21, 2026