Blind separation of speech target sources using ICA in the frequency domain

被引：2
|
作者：
Gholamrezaii M. [1 ]
Aghabozorgi M.R. [1 ]
Abutalebi H.R. [1 ]
机构：
[1] Department of Communication, Yazd University, Yazd
来源：
2010 5th International Symposium on Telecommunications, IST 2010 | 2010年
关键词：
Blind audio source separation; Convolutive mixtures; Frequency domain and permutation problem; Independent component analysis;
D O I：
10.1109/ISTEL.2010.5734125
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper describes the blind speech target sources using Independent Component Analysis in the frequency domain. Mixtures are convolutive and the target sources are assumed to be close to sensors and to have non-gaussianity and also we do not have any information about the position and active time of each source. We are going to determine the number of target sources and solving the permutation problem based on basis vector clustering and at the end, extract the target sources in the frequency domain © 2010 IEEE.
引用
收藏
页码：765 / 768
页数：3
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