Audio-to-Audio
speechbrain
PyTorch
English
audio-source-separation
Source Separation
Speech Separation
WHAM!
SepFormer
Transformer
Instructions to use speechbrain/sepformer-whamr16k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer-whamr16k with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer-whamr16k" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f51023744ff807ac6b0233da9651405b4a6ac38092c663a4ae8d2241487fcbee
- Size of remote file:
- 17.3 kB
- SHA256:
- 2d959cb46de5b15f008bf5476cf7c19bc680b310c7e10883e3eddfdbde533cb8
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