ONLINE ALGORITHMS FOR NONNEGATIVE MATRIX FACTORIZATION WITH THE ITAKURA-SAITO DIVERGENCE

被引：0

作者：

Lefevre, Augustin ^{[1
,2
]}

Bach, Francis ^{[1
]}

Fevotte, Cedric ^{[2
]}

机构：

[1] INRIA ENS Sierra Team, 23 Ave Italie, F-75013 Paris, France

[2] CNRS LTCI Telecom Paris Tech, F-75014 Paris, France

来源：

2011 IEEE WORKSHOP ON APPLICATIONS OF SIGNAL PROCESSING TO AUDIO AND ACOUSTICS (WASPAA) | 2011年

关键词：

nonnegative matrix factorization; online algorithms; Itakura-Saito divergence; blind source separation;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Nonnegative matrix factorization (NMF) is now a common tool for audio source separation. When learning NMF on large audio databases, one major drawback is that the complexity in time is O(F K N) when updating the dictionary (where (F, N) is the dimension of the input power spectrograms, and K the number of basis spectra), thus forbidding its application on signals longer than an hour. We provide an online algorithm with a complexity of O(F K) in time and memory for updates in the dictionary. We show on audio simulations that the online approach is faster for short audio signals and allows to analyze audio signals of several hours.

引用

页码：313 / 316

页数：4

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