hanifabd/voice-activity-detection-vad-realtime

Real-time Voice Activity Detection (VAD) with some example use case like simple voice bot and live transcription (realtime transcription)

31
/ 100
Emerging

This project helps call center agents, live transcribers, or anyone managing audio recordings by automatically detecting when someone is speaking versus when there's silence. It takes live audio streams or recorded audio as input, then identifies speech segments, and can either save only the spoken parts or trigger actions like real-time transcription. This is useful for anyone who needs to process spoken words efficiently without dealing with long stretches of quiet.

106 stars. No commits in the last 6 months.

Use this if you need to automatically identify and react to human speech in real-time audio streams, such as for voice bots, live transcription, or saving only relevant spoken content.

Not ideal if you need highly nuanced sound classification beyond basic speech detection, or if you're looking for a simple, client-side browser-only solution without server-side processing.

call-center-automation live-transcription audio-processing voice-assistants meeting-summarization
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 12 / 25

How are scores calculated?

Stars

106

Forks

10

Language

Python

License

Last pushed

Aug 18, 2025

Commits (30d)

0

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