speechbrain
/

REAL-M-sisnr-estimator

audio-source-separation

Source Separation

Speech Separation

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Mirco commited on Oct 22, 2021

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@@ -77,7 +77,7 @@ from speechbrain.pretrained.interfaces import SNREstimator as snrest
 import torchaudio
 # 1- Download a test mixture
-fetch("test_mixture.wav", source="speechbrain/sepformer-whamr", savedir=".", save_filename="test_mixture.wav")
 # 2- Separate the mixture with a pretrained model (sepformer-whamr in this case)
 model = separator.from_hparams(source="speechbrain/sepformer-whamr", savedir='pretrained_models/sepformer-whamr')

 import torchaudio
 # 1- Download a test mixture
+fetch("test_mixture.wav", source="speechbrain/sepformer-wsj02mix", savedir=".", save_filename="test_mixture.wav")
 # 2- Separate the mixture with a pretrained model (sepformer-whamr in this case)
 model = separator.from_hparams(source="speechbrain/sepformer-whamr", savedir='pretrained_models/sepformer-whamr')