Measuring dependence of bin-wise separated signals for permutation alignment in frequency-domain BSS

Hiroshi Sawada*, Shoko Araki, Shoji Makino

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

95 Citations (Scopus)

Abstract

This paper presents a new method for grouping bin-wise separated signals for individual sources, i.e., solving the permutation problem, in the process of frequency-domain blind source separation. Conventionally, the correlation coefficient of separated signal envelopes is calculated to judge whether or not the separated signals originate from the same source. In this paper, we propose a new measure that represents the dominance of the separated signal in the mixtures, and use it for calculating the correlation coefficient, instead of a signal envelope. Such dominance measures exhibit dependence/independence more clearly than traditionally used signal envelopes. Consequently, a simple clustering algorithm with centroids works well for grouping separated signals. Experimental results were very appealing, as three sources including two coming from the same direction were separated properly with the new method.

Original languageEnglish
Article number4253371
Pages (from-to)3247-3250
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States
Duration: 2007 May 272007 May 30

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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