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beargreen
/
speaker-diarization-community-1

Automatic Speech Recognition
pyannote.audio
pyannote
pyannote-audio-pipeline
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
voice-activity-detection
overlapped-speech-detection
Model card Files Files and versions
xet
Community

Instructions to use beargreen/speaker-diarization-community-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use beargreen/speaker-diarization-community-1 with pyannote.audio:

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("beargreen/speaker-diarization-community-1")
    
    # inference on the whole file
    pipeline("file.wav")
    
    # inference on an excerpt
    from pyannote.core import Segment
    excerpt = Segment(start=2.0, end=5.0)
    
    from pyannote.audio import Audio
    waveform, sample_rate = Audio().crop("file.wav", excerpt)
    pipeline({"waveform": waveform, "sample_rate": sample_rate})
  • Notebooks
  • Google Colab
  • Kaggle
speaker-diarization-community-1
77.9 MB
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  • 1 contributor
History: 2 commits
beargreen's picture
beargreen
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13dec0e verified 2 months ago
  • .venv
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  • embedding
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  • plda
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  • segmentation
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  • .gitattributes
    4.15 kB
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  • README.md
    9.98 kB
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  • config.yaml
    444 Bytes
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  • diarization.gif
    861 kB
    xet
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