pyannote.audio is an open-source toolkit for speaker diarization.
Pretrained pipelines reach state-of-the-art performance on most academic benchmarks.
Training is made possible thanks to GENCI on the Jean Zay supercomputer.
pyannoteAI provides even better and faster enterprise options, which can be tried for free on our playground.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A toolkit for reproducible evaluation, diagnostic, and error analysis of speaker diarization systems
Reproducible experimental protocols for multimedia (audio, video, text) database
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