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

Author

Gholamrezaii, Marjan ; Aghabozorgi, Massoud Reza ; Abutalebi, Hamid Reza

Author_Institution

Dept. Of Commun., Yazd Univ., Yazd, Iran

fYear

2010

Firstpage

765

Lastpage

768

Abstract

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.

Keywords

blind source separation; feature extraction; frequency-domain analysis; independent component analysis; pattern clustering; speech processing; basis vector clustering; blind separation; blind speech target source; frequency domain; independent component analysis; permutation problem; target source extraction; Blind source separation; Frequency domain analysis; Independent component analysis; Microphones; Sensors; Speech; Blind Audio Source Separation; Convolutive Mixtures; Frequency Domain and Permutation Problem; Independent Component Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications (IST), 2010 5th International Symposium on

Print_ISBN

978-1-4244-8183-5

Type

conf

DOI

10.1109/ISTEL.2010.5734125

Filename

5734125