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README.md
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---
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license: mit
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language:
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- en
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```
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for speech_turn, track, speaker in diarization.itertracks(yield_label=True):
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print(f"{speech_turn.start:4.1f} {speech_turn.end:4.1f} {speaker}")
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```
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---
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tags:
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- pyannote
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- pyannote-audio
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- pyannote-audio-pipeline
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- speaker-diarization
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license: mit
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language:
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- en
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```
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for speech_turn, track, speaker in diarization.itertracks(yield_label=True):
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print(f"{speech_turn.start:4.1f} {speech_turn.end:4.1f} {speaker}")
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```
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## Citations
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```bibtex
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@inproceedings{Plaquet23,
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author={Alexis Plaquet and Hervé Bredin},
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title={{Powerset multi-class cross entropy loss for neural speaker diarization}},
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year=2023,
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booktitle={Proc. INTERSPEECH 2023},
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}
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```
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```bibtex
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@inproceedings{Bredin23,
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author={Hervé Bredin},
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title={{pyannote.audio 2.1 speaker diarization pipeline: principle, benchmark, and recipe}},
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year=2023,
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booktitle={Proc. INTERSPEECH 2023},
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}
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```
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