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
Download decoder.ckpt from speechbrain/sepformer_rescuespeech: direct link, hf CLI and curl.
- Browser
- Download file 17.2 kB
-
https://huggingface.co/speechbrain/sepformer_rescuespeech/resolve/main/decoder.ckpt
- Command line
-
hf download hf://speechbrain/sepformer_rescuespeech/decoder.ckpt
-
curl -L -o decoder.ckpt https://huggingface.co/speechbrain/sepformer_rescuespeech/resolve/main/decoder.ckpt
17.2 kB
- Xet hash:
- 9a299c80a97e56dfeb1921495d8201ba149a4720377adf38cb0647aa71f701f3
- Size of remote file:
- 17.2 kB
- SHA256:
- 00d272f965100f627a4a43d45dd919a7caf867372035139a91b8ece174c8b5f1
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