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speechbrain
/
sepformer-whamr

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

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

  • Libraries
  • speechbrain

    How to use speechbrain/sepformer-whamr with speechbrain:

    from speechbrain.pretrained import SepformerSeparation
    model = SepformerSeparation.from_hparams(
      "speechbrain/sepformer-whamr"
    )
    model.separate_file("file.wav")
  • Notebooks
  • Google Colab
  • Kaggle
sepformer-whamr / metadata
11.5 MB
Ctrl+K
Ctrl+K
  • 9 contributors
History: 1 commit
subakany
added metadata for RIR creation
09a6a15 about 5 years ago
  • mix_2_spk_filenames_cv.csv
    488 kB
    added metadata for RIR creation about 5 years ago
  • mix_2_spk_filenames_tr.csv
    1.95 MB
    added metadata for RIR creation about 5 years ago
  • mix_2_spk_filenames_tt.csv
    299 kB
    added metadata for RIR creation about 5 years ago
  • reverb_params_cv.csv
    1.57 MB
    added metadata for RIR creation about 5 years ago
  • reverb_params_tr.csv
    6.28 MB
    added metadata for RIR creation about 5 years ago
  • reverb_params_tt.csv
    942 kB
    added metadata for RIR creation about 5 years ago