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ishtiakmoin
/
diarization_filtered_v2

pyannote.audio
PyTorch
Bengali
speaker-diarization
pyannote
audio
voice
speech
bengali
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use ishtiakmoin/diarization_filtered_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use ishtiakmoin/diarization_filtered_v2 with pyannote.audio:

    from pyannote.audio import Model, Inference
    
    model = Model.from_pretrained("ishtiakmoin/diarization_filtered_v2")
    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
diarization_filtered_v2
17.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
ishtiakmoin's picture
ishtiakmoin
Upload fine-tuned Bengali speaker diarization model
49eb362 verified 8 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    526 Bytes
    Upload fine-tuned Bengali speaker diarization model 8 months ago
  • USAGE.md
    108 Bytes
    Upload fine-tuned Bengali speaker diarization model 8 months ago
  • config.yaml
    235 Bytes
    Upload fine-tuned Bengali speaker diarization model 8 months ago
  • pipeline_config.json
    357 Bytes
    Upload fine-tuned Bengali speaker diarization model 8 months ago
  • pytorch_model.bin
    17.7 MB
    xet
    Upload fine-tuned Bengali speaker diarization model 8 months ago