IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Online ISSN : 1745-1337
Print ISSN : 0916-8508
Regular Section
Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties
Daichi KITAMURAHiroshi SARUWATARIKosuke YAGIKiyohiro SHIKANOYu TAKAHASHIKazunobu KONDO
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2014 Volume E97.A Issue 5 Pages 1113-1118

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Abstract

In this letter, we address monaural source separation based on supervised nonnegative matrix factorization (SNMF) and propose a new penalized SNMF. Conventional SNMF often degrades the separation performance owing to the basis-sharing problem. Our penalized SNMF forces nontarget bases to become different from the target bases, which increases the separated sound quality.

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© 2014 The Institute of Electronics, Information and Communication Engineers
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