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In this paper, we propose a simple yet effective method for multiple music source separation using convolutional neural networks.
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Daniel D Lee and H Sebastian Seung · 2001
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Emmanuel Vincent, Rémi Gribonval, and Cédric Févotte · 2006
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Alexey Ozerov, Pierrick Philippe, Frdric Bimbot, and Rmi Gribonval · 2007
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Yi-Hsuan Yang · 2013
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Colin Raffel, Brian McFee, Eric J Humphrey, Justin Salamon, Oriol Nieto, Dawen Liang, Daniel PW Ellis, and C Colin Raffel · 2014
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On training targets for supervised speech separation
Yuxuan Wang, Arun Narayanan, and DeLiang Wang · 2014
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Discriminative nmf and its application to single-channel source separation
Felix Weninger, Jonathan Le Roux, John R Hershey, and Shinji Watanabe · 2014
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Joint optimization of masks and deep recurrent neural networks for monaural source separation
Po-Sen Huang, Minje Kim, Mark Hasegawa-Johnson, and Paris Smaragdis · 2015
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Jonathan Le Roux, John R Hershey, and Felix Weninger · 2015
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Andrew JR Simpson, Gerard Roma, and Mark D Plumbley · 2015
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Stefan Uhlich, Franck Giron, and Yuki Mitsufuji · 2015
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Shih-En Wei, Varun Ramakrishna, Takeo Kanade, and Yaser Sheikh · 2016
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Pritish Chandna, Marius Miron, Jordi Janer, and Emilia Gómez · 2017
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Multi-resolution fully convolutional neural networks for monaural audio source separation
Emad M Grais, Hagen Wierstorf, Dominic Ward, and Mark D Plumbley · 2017
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Singing voice separation with deep u-net convolutional networks
Andreas Jansson, Eric Humphrey, Nicola Montecchio, Rachel Bittner, Aparna Kumar, and Tillman Weyde · 2017
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Singing voice separation using rpca with weighted l_ { \{ 1 } \} -norm
Il-Young Jeong and Kyogu Lee · 2017
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