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)
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.
Stars
106
Forks
10
Language
Python
License
—
Category
Last pushed
Aug 18, 2025
Commits (30d)
0
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