DocumentCode :
1783870
Title :
On-Line Nonnegative Matrix Factorization for Music Signal Separation
Author :
Seokjin Lee
Author_Institution :
Dept. of Electron. Eng., Kyonggi Univ., Suwon, South Korea
fYear :
2014
fDate :
27-29 Aug. 2014
Firstpage :
566
Lastpage :
569
Abstract :
Nonnegative matrix factorization (NMF) is widely used in audio source analysis and audio signal separation systems. However, conventional NMF algorithms cannot be used on-line because they process all available data at once. On-line NMF algorithms have been developed recently, but most of them cannot be applied to audio systems. In this paper, an on-line NMF algorithm, based on multiple normal equations and recursive solutions, is developed, and the developed algorithm is extended to more enhanced algorithm and more simplified algorithm. An on-line monaural ambient signal separation system is presented to demonstrate the applicability of the proposed algorithm.
Keywords :
audio signal processing; matrix decomposition; music; source separation; audio signal separation systems; audio source analysis; multiple normal equations; music signal separation; online NMF algorithms; online nonnegative matrix factorization; recursive solutions; Approximation algorithms; Equations; Mathematical model; Signal processing algorithms; Source separation; Spectrogram; audio source separation; nonnegative matrix factorization; on-line audio signal processing; recursive least squares;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
Type :
conf
DOI :
10.1109/IIH-MSP.2014.146
Filename :
6998392
Link To Document :
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