Software Open Access

Open-Unmix-Pytorch UMX-HQ

Fabian-Robert Stöter; Antoine Liutkus

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

Files (143.6 MB)
Name Size
bass-8d85a5bd.pth
md5:8cc37d31903fe48306468ee968f4b1b6 		35.6 MB Download
drums-9619578f.pth
md5:cebf76e196e73e85d247f462c31e36fc 		35.6 MB Download
other-b52fbbf7.pth
md5:8637606623ed7c74986789c3b1f94bc6 		35.6 MB Download
training-json-logs.zip
md5:2f62fd3cffb233668e1d21ae3f7de3f1 		74.2 kB Download
UMXHQ-MUSDB18.zip
md5:cfebac4d3ecf515956e2ef1f06db3e50 		998.5 kB Download
vocals-b62c91ce.pth
md5:d918985fad0fedf6d9ce89e279aa7218 		35.6 MB Download
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Publication date:
August 14, 2019
DOI:
10.5281/zenodo.3370489

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10.5281/zenodo.3370489

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Keyword(s):
source separation deep learning pytorch
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License (for files):
MIT License

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Version 1.0.1 10.5281/zenodo.3370489 Aug 14, 2019
Version 1.0.0 10.5281/zenodo.3267291 Aug 14, 2019
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