Audio-to-Audio
speechbrain
PyTorch
German
Speech Enhancement
RescueSpeech
SepFormer
Transformer
Search and Rescue
Eval Results (legacy)
Instructions to use speechbrain/sepformer_rescuespeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer_rescuespeech with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer_rescuespeech" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f59f29e1f8688a3b50bda8da08dc162e7d29836296d3e2b4926950b16dd3f2ce
- Size of remote file:
- 17.3 kB
- SHA256:
- a04882b82c623a27af12376cc05dc0eb6cc1d59fb483bfb463d89d7d6072ac4d
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