Audio-to-Audio
speechbrain
English
Source Separation
Speech Separation
Audio Source Separation
WSJ02Mix
SepFormer
Transformer
audio-source-separation
Instructions to use speechbrain/sepformer-wsj02mix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer-wsj02mix with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer-wsj02mix" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
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README.md
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### Perform source separation on your own audio file
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```python
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from speechbrain.
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import torchaudio
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model = separator.from_hparams(source="speechbrain/sepformer-wsj02mix", savedir='pretrained_models/sepformer-wsj02mix')
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### Perform source separation on your own audio file
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```python
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from speechbrain.inference.separation import SepformerSeparation as separator
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import torchaudio
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model = separator.from_hparams(source="speechbrain/sepformer-wsj02mix", savedir='pretrained_models/sepformer-wsj02mix')
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