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

  • Libraries
  • pyannote.audio

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

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("DroolingPanda/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 / embedding
26.6 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 2 commits
hbredin's picture
hbredin
Create README.md
d8c7e22 verified 12 months ago
  • README.md
    938 Bytes
    Create README.md 12 months ago
  • pytorch_model.bin
    26.6 MB
    xet
    feat: initial import over 1 year ago