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
File size: 94 Bytes
b52dc53 | 1 2 3 4 5 | # yamllint disable
end-of-epoch: true
si-snr: -7.369511792677621
unixtime: 1621680451.6093628
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