Frequency domain blind source separation using small and large spacing sensor pairs

Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Makino

Research output: Contribution to journalConference articlepeer-review

11 Citations (Scopus)

Abstract

This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential source locations are omnidirectional. We propose a combination of small and large spacing sensor pairs with various axis directions in order to obtain proper geometrical information for solving the permutation problem. Experimental results show that the proposed method can separate a mixture of six speech signals that come from various directions, even when two of them come from the same direction.

Original languageEnglish
Pages (from-to)V-1-V-4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume5
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Symposium on Cirquits and Systems - Proceedings - Vancouver, BC, Canada
Duration: 2004 May 232004 May 26

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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