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--- |
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tags: |
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- pyannote |
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- speaker-diarization |
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datasets: |
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- ami |
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- voxconverse |
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license: mit |
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--- |
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# Speaker diarization |
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Relies on pyannote.audio 2.0 currently in development: see [installation instructions](https://github.com/pyannote/pyannote-audio/tree/develop#installation). |
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```python |
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from pyannote.audio import Pipeline |
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pipeline = Pipeline.from_pretrained("AMITKESARI2000/pyannote_SD1") |
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output = pipeline("audio.wav") |
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for turn, _, speaker in output.itertracks(yield_label=True): |
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# speaker speaks between turn.start and turn.end |
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... |
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``` |
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## Benchmark |
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| Dataset | [Diarization error rate](http://pyannote.github.io/pyannote-metrics/reference.html#diarization) | |
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| --------------------------------------------------------------------------------------------------- | ------ | |
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| [AMI `only_words` evaluation set](https://github.com/BUTSpeechFIT/AMI-diarization-setup) | 21.4% | |
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