Dataset Open Access

Open-Unmix-Pytorch UMX-L

Fabian-Robert Stöter; Antoine Liutkus

Weights of the UMX-L (umxl) music separation model for PyTorch. For more information, visit https://github.com/sigsep/open-unmix-pytorch

Files (452.5 MB)
Name Size
bass-2ca1ce51.pth
md5:97bde8181d2162d2a65a4ee353fcb559 		113.1 MB Download
configs.zip
md5:080bab70d3c0e43352c5d060e5aefc26 		52.3 kB Download
drums-69e0ebd4.pth
md5:21023f2f9cb3ee68323f2b5327823159 		113.1 MB Download
other-c8c5b3e6.pth
md5:e9cd3437f1e39449070882574df2c01f 		113.1 MB Download
vocals-bccbd9aa.pth
md5:3c5df52f4b8a742947c7a018a0b2b0bf 		113.1 MB Download
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Publication date:
July 5, 2021
DOI:
10.5281/zenodo.5069601

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Keyword(s):
source separation deep learning pytorch
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Creative Commons Attribution Non Commercial Share Alike 4.0 International

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Version 1.0.0 10.5281/zenodo.5069601 Jul 5, 2021
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