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Music Signal Separation Based on Supervised Nonnegative Matrix Factorization with Orthogonality and Maximum-Divergence Penalties
Daichi KITAMURA Hiroshi SARUWATARI Kosuke YAGI Kiyohiro SHIKANO Yu TAKAHASHI Kazunobu KONDO
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2014/05/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Engineering Acoustics
music signal separation, nonnegative matrix factorization, supervised method,
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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.