Audio-to-Audio
speechbrain
PyTorch
English
audio-source-separation
Source Separation
Speech Separation
WHAM!
SepFormer
Transformer
Instructions to use molto/sepformer-whamr16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use molto/sepformer-whamr16k with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "molto/sepformer-whamr16k" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
| # yamllint disable | |
| end-of-epoch: true | |
| si-snr: -7.369511792677621 | |
| unixtime: 1621680451.6093628 | |