{"id":"0fd73006-7d8f-4f04-9912-0615e7cda82d","shortId":"rN9KM4","kind":"skill","title":"Silero VAD Pre-Trained Enterprise Voice Activity Detection","tagline":"Silero VAD is a pre-trained enterprise-grade Voice Activity Detector that identifies speech segments in audio streams. It runs locally via PyTorch or ONNX Runtime with minimal resource requirements, making it ideal for real-time audio processing pipelines.","description":"# Silero VAD Pre-Trained Enterprise Voice Activity Detection\n\nSilero VAD is a pre-trained enterprise-grade Voice Activity Detector that identifies speech segments in audio streams. It runs locally via PyTorch or ONNX Runtime with minimal resource requirements, making it ideal for real-time audio processing pipelines.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install silero-vad\n\nRequirements and caveats from upstream:\n- System requirements to run python examples on x86-64 systems:\n- python 3.8+;\n\nBasic usage or getting-started notes:\n- [![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) [![Test Package](https://github.com/snakers4/sile...\n- <summary>Real Time Example</summary>\n- onnxruntime>=1.16.1 (for ONNX model usage).\n\n- Source: https://github.com/snakers4/silero-vad\n- Extracted from upstream docs: https://raw.githubusercontent.com/snakers4/silero-vad/HEAD/README.md\n\n## Source\n\n- [Agent Skill 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