Audio-to-Audio
speechbrain
English
Source Separation
Speech Separation
Audio Source Separation
Libri3Mix
SepFormer
Transformer
audio-source-separation
Instructions to use hahmadraz/sepformer-libri3mix-48k-epoch93_latest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use hahmadraz/sepformer-libri3mix-48k-epoch93_latest with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "hahmadraz/sepformer-libri3mix-48k-epoch93_latest" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b9564e6347acdc624f06052b0894e29fcf567aafe4f8141da4f40542091137a8
- Size of remote file:
- 113 MB
- SHA256:
- 7e44aec6895940e650cb9b8d840fe3b496bf0582b4b2ec60ae77476fdc6a75f6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.