Introducing TEN-VAD: A Lightweight, Cross-Platform Voice Activity Detector

Why You Should Care About This VAD

Voice Activity Detection (VAD) is one of those behind-the-scenes technologies that makes modern voice applications work—think voice assistants, meeting transcription, or real-time audio processing. Most existing solutions are either heavyweight, platform-specific, or introduce annoying latency.

That’s where TEN-VAD comes in. It’s an open-source VAD designed to be low-latency, lightweight, and cross-platform—making it a great fit for AI agents, real-time applications, or anywhere you need efficient voice detection without bloat.

What It Does

TEN-VAD is a Voice Activity Detector that:

• Detects speech segments in real-time audio streams
• Runs with minimal latency (critical for live applications)
• Works across Linux, macOS, and Windows
• Comes with Python bindings for easy integration
• Includes ONNX support for flexible deployment

Unlike some heavyweight alternatives, it’s optimized for efficiency—making it ideal for edge devices or applications where performance matters.

Why It’s Cool

1. Cross-Platform from Day One

   • No more wrestling with platform-specific builds. TEN-VAD supports Linux (x64), macOS, and Windows out of the box.

2. Prebuilt Libraries & Python Demos

   • Don’t want to compile from source? No problem—prebuilt libraries are available, and there’s a Windows Python demo to get started quickly.

3. Optimized for Agents

   • Built with AI voice agents in mind, so it’s designed to work smoothly in pipelines where low latency is critical.

4. Open-Source & Actively Maintained

   • With 900+ GitHub stars and recent updates (including ONNX support), this isn’t abandonware.

How to Try It

1. Install via pip (Python):

   pip install ten-vad
   

   (Check the GitHub README for platform-specific notes.)

2. Run the demo:
   The repo includes example scripts to test real-time VAD with Python.

3. ONNX version available:
   If you need framework flexibility, check out the ONNX examples.

Final Thoughts

If you’re building anything involving real-time voice processing—whether it’s for AI agents, transcription, or VoIP apps—TEN-VAD is worth a look. It’s not trying to be the most feature-packed VAD out there, and that’s the point. It’s fast, lightweight, and just works across platforms.

The fact that it’s open-source (with a permissive license) and already battle-tested by hundreds of devs makes it a solid choice. Give it a spin and see if it fits your workflow.

🔗 GitHub Repo: github.com/ten-framework/ten-vad
🤖 ONNX Model: Hugging Face