Blind source separation with optimal transport non-negative matrix factorization

Blind source separation with optimal transport non-negative matrix factorization

Abstract Optimal transport as a loss for machine learning optimization problems has recently gained a lot of attention. Building upon recent advances in computational optimal transport, we develop an optimal transport non-negative matrix factorization (NMF) algorithm for supervised speech blind sour...

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Bibliographic Details
Main Authors: Antoine Rolet, Vivien Seguy, Mathieu Blondel, Hiroshi Sawada
Format: Article
Language:English
Published: SpringerOpen 2018-09-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
NMF
Speech
BSS
Optimal transport
Online Access:http://link.springer.com/article/10.1186/s13634-018-0576-2

Internet

http://link.springer.com/article/10.1186/s13634-018-0576-2

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