cvqluu/simple_diarizer
Simplified diarization pipeline using some pretrained models - audio file to diarized segments in a few lines of code
This tool helps analyze audio recordings by identifying who spoke when. You provide an audio file, and it outputs a breakdown of the recording, showing distinct segments attributed to different speakers. It's ideal for anyone who needs to quickly understand speaker turns in a conversation or presentation.
155 stars. No commits in the last 6 months.
Use this if you have an audio file and need to automatically separate it into segments by speaker.
Not ideal if you need to transcribe the content of the speech or identify specific speakers by name.
Stars
155
Forks
32
Language
Python
License
GPL-3.0
Category
Last pushed
May 02, 2024
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/voice-ai/cvqluu/simple_diarizer"
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