Audio-to-Audio
speechbrain
English
Source Separation
Speech Separation
Audio Source Separation
WHAM!
SepFormer
Transformer
audio-source-separation
Instructions to use speechbrain/sepformer-whamr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- speechbrain
How to use speechbrain/sepformer-whamr with speechbrain:
from speechbrain.pretrained import SepformerSeparation model = SepformerSeparation.from_hparams( "speechbrain/sepformer-whamr" ) model.separate_file("file.wav") - Notebooks
- Google Colab
- Kaggle
Download decoder.ckpt from speechbrain/sepformer-whamr: direct link, hf CLI and curl.
- Browser
- Download file 17.3 kB
-
https://huggingface.co/speechbrain/sepformer-whamr/resolve/main/decoder.ckpt
- Command line
-
hf download hf://speechbrain/sepformer-whamr/decoder.ckpt
-
curl -L -o decoder.ckpt https://huggingface.co/speechbrain/sepformer-whamr/resolve/main/decoder.ckpt
17.3 kB
- Xet hash:
- 13fd44ab015ddee03cfd5fd3089db2a7e2be5a957b7e213758dad2d3752996db
- Size of remote file:
- 17.3 kB
- SHA256:
- 059532c89f67474e98c737e3790d607b60dcdd420767e9259165a2e7370bdd97
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