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:
- 4c3532fecf4b21435d75211cfb03c72a0c00056f4f88463ee4587e9a490366ae
- Size of remote file:
- 17.2 kB
- SHA256:
- abea1a2d41151331b4c36071d1b3205aed940a189721f008b12a703e9c63e7e4
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