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eek
/
wespeaker-voxceleb-resnet293-LM

pyannote.audio
PyTorch
ONNX
pyannote
pyannote-audio-model
wespeaker
audio
voice
speech
speaker
speaker-recognition
speaker-verification
speaker-identification
speaker-embedding
Model card Files Files and versions
xet
Community
1

Instructions to use eek/wespeaker-voxceleb-resnet293-LM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • pyannote.audio

    How to use eek/wespeaker-voxceleb-resnet293-LM with pyannote.audio:

    from pyannote.audio import Model, Inference
    
    model = Model.from_pretrained("eek/wespeaker-voxceleb-resnet293-LM")
    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
wespeaker-voxceleb-resnet293-LM
230 MB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Radu-Sebastian Amarie
ADD: onnx too
3679327 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    3.32 kB
    Converted WeSpeakerResnet293 to pyannote about 2 years ago
  • config.yaml
    1.74 kB
    Converted WeSpeakerResnet293 to pyannote about 2 years ago
  • pytorch_model.bin
    116 MB
    xet
    Converted WeSpeakerResnet293 to pyannote about 2 years ago
  • speaker-embedding.onnx
    114 MB
    xet
    ADD: onnx too about 2 years ago