An Approach to Solving a Permutation Problem of Frequency Domain Independent Component Analysis for Blind Source Separation of Speech Signals

被引：0

作者：

Fujieda, Masaru ^{[1
]}

Murakami, Takahiro ^{[1
]}

Ishida, Yoshihisa ^{[1
]}

机构：

[1] Meiji Univ, Sch Sci & Technol, Kanagawa, Japan

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 18 | 2006年 / 18卷

关键词：

Blind source separation; Independent component analysis; Frequency domain; Permutation ambiguity;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Independent component analysis (ICA) in the frequency domain is used for solving the problem of blind source separation (BSS). However, this method has some problems. For example, a general ICA algorithm cannot determine the permutation of signals which is important in the frequency domain ICA. In this paper, we propose an approach to the solution for a permutation problem. The idea is to effectively combine two conventional approaches. This approach improves the signal separation performance by exploiting features of the conventional approaches. We show the simulation results using artificial data.

引用

页码：64 / 68

页数：5

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