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fatymatariq
/
speaker-diarization-3.1

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
1

Instructions to use fatymatariq/speaker-diarization-3.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use fatymatariq/speaker-diarization-3.1 with pyannote.audio:

    from pyannote.audio import Pipeline
    
    pipeline = Pipeline.from_pretrained("fatymatariq/speaker-diarization-3.1")
    
    # 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-3.1
10.9 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
fatymatariq's picture
fatymatariq
Updating embedding model to include pyanote
989bd4a over 1 year ago
  • reproducible_research
    Initial clone of pyannote/speaker-diarization-3.1 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    11 kB
    Initial clone of pyannote/speaker-diarization-3.1 over 1 year ago
  • config.yaml
    484 Bytes
    Updating embedding model to include pyanote over 1 year ago
  • handler.py
    2.17 kB
    Initial clone of pyannote/speaker-diarization-3.1 over 1 year ago
  • requirements.txt
    21 Bytes
    Initial clone of pyannote/speaker-diarization-3.1 over 1 year ago