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objects76
/
speaker-diarization-v1

Voice Activity Detection
pyannote.audio
PyTorch
pyannote
pyannote-audio-model
audio
voice
speech
speaker
speaker-diarization
speaker-change-detection
speaker-segmentation
overlapped-speech-detection
resegmentation
Model card Files Files and versions
xet
Community

Instructions to use objects76/speaker-diarization-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use objects76/speaker-diarization-v1 with pyannote.audio:

    from pyannote.audio import Model, Inference
    
    model = Model.from_pretrained("objects76/speaker-diarization-v1")
    inference = Inference(model)
    
    # inference on the whole file
    inference("file.wav")
    
    # inference on an excerpt
    from pyannote.core import Segment
    excerpt = Segment(start=2.0, end=5.0)
    inference.crop("file.wav", excerpt)
  • Notebooks
  • Google Colab
  • Kaggle
speaker-diarization-v1
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
objects76's picture
objects76
initial commit
7702e80 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago