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.
Scanned 6/2/2026
Install to Claude Code
npx -y skills add agentskillexchange/skills --skill silero-vad-voice-activity-detection --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: "Silero VAD Pre-Trained Enterprise Voice Activity Detection"
slug: "silero-vad-voice-activity-detection"
description: "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."
github_stars: 8604
verification: "security_reviewed"
source: "https://github.com/snakers4/silero-vad"
category: "Media & Transcription"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "snakers4/silero-vad"
github_stars: 8604
---
# Silero VAD Pre-Trained Enterprise Voice Activity Detection
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.
## Installation
Use the upstream install or setup path that matches your environment:
- pip install silero-vad
Requirements and caveats from upstream:
- System requirements to run python examples on x86-64 systems:
- python 3.8+;
Basic usage or getting-started notes:
- [](https://colab.research.google.com/github/snakers4/silero-vad/blob/master/silero-vad.ipynb) [.
- Source: https://github.com/snakers4/silero-vad
- Extracted from upstream docs: https://raw.githubusercontent.com/snakers4/silero-vad/HEAD/README.md
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/silero-vad-voice-activity-detection/)
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