Audio-to-Audio
speechbrain
English
Source Separation
Speech Separation
Audio Source Separation
WSJ02Mix
SepFormer
Transformer
audio-source-separation
Instructions to use admin-spsoft/Speechbrain_SPSoft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use admin-spsoft/Speechbrain_SPSoft with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "admin-spsoft/Speechbrain_SPSoft" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec14f4521a3c2df82b4849b013fa67e2f309e93cc430c947648798232595bee2
- Size of remote file:
- 66.2 kB
- SHA256:
- 73235884251e3f575adc540597bc704363ffe50bd4fc5164e96bf0d7afd3a371
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