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hbredin
/
utter-project-diarization

pyannote.audio
pyannote
pyannote-audio-pipeline
Model card Files Files and versions
xet
Community

Instructions to use hbredin/utter-project-diarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use hbredin/utter-project-diarization with pyannote.audio:

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("hbredin/utter-project-diarization")
    
    # 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
utter-project-diarization
3.43 kB
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  • 1 contributor
History: 6 commits
hbredin's picture
hbredin
Update README.md
e58cf49 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    1.41 kB
    Update README.md over 1 year ago
  • config.yaml
    499 Bytes
    Update config.yaml over 1 year ago