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speechbrain
/
sepformer-whamr16k

Audio-to-Audio
speechbrain
PyTorch
English
audio-source-separation
Source Separation
Speech Separation
WHAM!
SepFormer
Transformer
Model card Files Files and versions
xet
Community
1

Instructions to use speechbrain/sepformer-whamr16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • speechbrain

    How to use speechbrain/sepformer-whamr16k with speechbrain:

    from speechbrain.pretrained import SepformerSeparation
    model = SepformerSeparation.from_hparams(
      "speechbrain/sepformer-whamr16k"
    )
    model.separate_file("file.wav")
  • Notebooks
  • Google Colab
  • Kaggle
sepformer-whamr16k
319 MB
Ctrl+K
Ctrl+K
  • 7 contributors
History: 29 commits
Adel-Moumen's picture
Adel-Moumen
Update README.md
21a5b50 verified over 2 years ago
  • .gitattributes
    733 Bytes
    initial push about 5 years ago
  • CKPT.yaml
    94 Bytes
    initial push about 5 years ago
  • README.md
    4.16 kB
    Update README.md over 2 years ago
  • brain.ckpt
    28 Bytes
    xet
    initial push about 5 years ago
  • config.json
    52 Bytes
    Create config.json almost 5 years ago
  • counter.ckpt
    3 Bytes
    xet
    initial push about 5 years ago
  • dataloader-TRAIN.ckpt
    5 Bytes
    xet
    initial push about 5 years ago
  • decoder.ckpt
    17.3 kB
    xet
    initial push about 5 years ago
  • encoder.ckpt
    17.3 kB
    xet
    initial push about 5 years ago
  • hyperparams.yaml
    1.52 kB
    cleaned inference hyparam file about 5 years ago
  • hyperparams_train.yaml
    5.14 kB
    cleaned inference hyparam file about 5 years ago
  • lr_scheduler.ckpt
    1.65 kB
    xet
    initial push about 5 years ago
  • masknet.ckpt
    113 MB
    xet
    initial push about 5 years ago
  • optimizer.ckpt
    206 MB
    xet
    initial push about 5 years ago
  • test_mixture16k.wav
    132 kB
    added test_mixture.wav at 16k about 5 years ago