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:
- 50d1bb439ba3d14459f1219193b1f2abbdbef22bd9b08c0f924def5db40a6b85
- Size of remote file:
- 17.3 kB
- SHA256:
- 3139bb880b29ea77ae8a168b8f2ad6e8eb5c2c0904289676c223d0e93cd2a35d
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