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Record · ten-vadSDK / libraryOpen sourceLow activityVerified Sep 18, 2026

ten-vad

Voice Activity Detector (VAD): low-latency, high-performance and lightweight

Best for

Frame-level real-time voice activity detection inside a larger voice pipeline, where latency and memory footprint matter.

Avoid if

You need a complete voice agent; this is a detection component rather than a conversational system.

About ten-vad

You are more than welcome to Visit TEN Hugging Face Space to try VAD and Turn Detection together.

TEN VAD is a real-time voice activity detection system designed for enterprise use, providing accurate frame-level speech activity detection. It shows superior precision compared to both WebRTC VAD and Silero VAD, which are commonly used in the industry. Additionally, TEN VAD offers lower computational complexity and reduced memory usage compared to Silero VAD. Meanwhile, the architecture's temporal efficiency enables rapid voice activity detection, significantly reducing end-to-end response…

The precision-recall curves comparing the performance of WebRTC VAD (pitch-based), Silero VAD, and TEN VAD are shown below. The evaluation is conducted on the precisely manually annotated testset. The audio files are from librispeech, gigaspeech, DNS Challenge etc. As demonstrated, TEN VAD achieves the best performance. Additionally, cross-validation experiments conducted on large internal real-world datasets demonstrate the reproducibility of these findings. The testset with annotated labels…

From the project's README

ten-vad is an open-source project written primarily in C, with 2.3k stars on GitHub. It was last updated in February 2026.

Install

pip install -U --force-reinstall -v git+https://github.com/TEN-framework/ten-vad.git
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