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:
- a2ce129afbdf7925dca1db52cb6228fdaf4e6a638b9c98c19143a40754e3158d
- Size of remote file:
- 28 Bytes
- SHA256:
- d9e24193f36931b7f57932532efbdcf64971f42732383ba6808825f77db258f6
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