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eek
/
speaker-diarization

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

  • Libraries
  • pyannote.audio

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

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("eek/speaker-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
speaker-diarization
15.3 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
Radu-Sebastian Amarie
Update: revert segmentation, update embedding
a6d3c7b almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    11.1 kB
    ADD: Speaker Diarization Pipeline with Speechbrain embedding almost 2 years ago
  • config.yaml
    466 Bytes
    Update: revert segmentation, update embedding almost 2 years ago
  • handler.py
    2.16 kB
    ADD: Speaker Diarization Pipeline with Speechbrain embedding almost 2 years ago