Audio-to-Audio
speechbrain
PyTorch
German
Speech Enhancement
RescueSpeech
SepFormer
Transformer
Search and Rescue
Eval Results (legacy)
Instructions to use speechbrain/sepformer_rescuespeech with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer_rescuespeech with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer_rescuespeech" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
adding the missing !
#2
by cemsubakan - opened
- hyperparams.yaml +1 -1
hyperparams.yaml
CHANGED
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@@ -37,7 +37,7 @@ SBtfinter: !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
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use_positional_encoding: true
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norm_before: true
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-
MaskNet: new:speechbrain.lobes.models.dual_path.Dual_Path_Model
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num_spks: 1
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in_channels: 256
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out_channels: 256
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| 37 |
use_positional_encoding: true
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| 38 |
norm_before: true
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| 40 |
+
MaskNet: !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
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num_spks: 1
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in_channels: 256
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| 43 |
out_channels: 256
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