Audio-to-Audio
speechbrain
English
audio-source-separation
Source Separation
Speech Separation
Audio Source Separation
WHAM!
SepFormer
Transformer
Instructions to use speechbrain/sepformer-wham with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer-wham with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer-wham" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Commit ·
ebfbe15
1
Parent(s): fa26753
Update README.md
Browse files
README.md
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@@ -41,7 +41,7 @@ Please notice that we encourage you to read our tutorials and learn more about [
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from speechbrain.pretrained import SepformerSeparation as separator
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import torchaudio
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model = separator.from_hparams(source="speechbrain/sepformer-wham", savedir='sepformer-wham')
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# for custom file, change path
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est_sources = model.separate_file(path='speechbrain/sepformer-wsj02mix/test_mixture.wav')
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from speechbrain.pretrained import SepformerSeparation as separator
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import torchaudio
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model = separator.from_hparams(source="speechbrain/sepformer-wham", savedir='pretrained_models/sepformer-wham')
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# for custom file, change path
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est_sources = model.separate_file(path='speechbrain/sepformer-wsj02mix/test_mixture.wav')
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