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Blind source separation based on time-domain optimization of a frequency-domain independence criterion

Tiemin Mei*, Jiangtao Xi, Fuliang Yin, Alfred Mertins, Joe F. Chicharo

*Korrespondierende/r Autor/-in für diese Arbeit

Abstract

A new technique for the blind separation of convolutive mixtures is proposed in this paper. Inspired by the works of Amari, Sabala , and Rahbar, we firstly start from the application of Kullback-Leibler divergence in frequency domain, and then we integrate Kullback-Leibler divergence over the whole frequency range of interest to yield a new objective function which turns out to be time-domain variable dependent. In other words, the objective function is derived in frequency domain which can be optimized with respect to time domain variables. The proposed technique has the advantages of frequency domain approaches and is suitable for very long mixing channels, but does not suffer from the local permutation problem as the separation is achieved in time-domain

OriginalspracheEnglisch
Aufsatznummer1709896
ZeitschriftIEEE Transactions on Audio, Speech and Language Processing
Jahrgang14
Ausgabenummer6
Seiten (von - bis)2075-2085
Seitenumfang11
ISSN1558-7916
DOIs
PublikationsstatusVeröffentlicht - 01.11.2006

Fördermittel

Manuscript received February 16, 2005; revised October 6, 2005. This work was supported in part by the National Natural Science Foundation of China under Grant 60172073 and Grant 60372082, and the Trans-Century Training Program Foundation for the Talents by the Ministry of Education of China and in part by the Australia Research Council under ARC large Grant A00103052, and in part by the German Research Foundation under Grant ME1170/1. The associate editor coordinating the review of this manuscript and approving it for publication was Dr. Hong-Goo Kang.

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  1. SDG 9 – Industrie, Innovation und Infrastruktur
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