Underdetermined blind speech separation with directivity pattern based continuous mask and ICA

Shoko Araki, Shoji Makino, Hiroshi Sawada, Ryo Mukai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

We propose a method for separating speech signals when sources outnumber the sensors. In this paper we mainly concentrate on the case of three sources and two sensors. Some existing methods employ binary masks to extract the signals, and therefore, the extracted signals contain loud musical noise. To overcome this problem, we propose the utilization of a directivity pattern based continuous mask, which removes a single source from the observations, and independent component analysis (ICA) to separate the remaining mixtures. Experimental results show that our proposed method can separate signals with little distortion even in a real reverberant environment of T R =130 ms.

Original languageEnglish
Title of host publication2004 12th European Signal Processing Conference, EUSIPCO 2004
PublisherEuropean Signal Processing Conference, EUSIPCO
Pages1991-1994
Number of pages4
ISBN (Electronic)9783200001657
Publication statusPublished - 2015 Apr 3
Externally publishedYes
Event12th European Signal Processing Conference, EUSIPCO 2004 - Vienna, Austria
Duration: 2004 Sep 62004 Sep 10

Publication series

NameEuropean Signal Processing Conference
Volume06-10-September-2004
ISSN (Print)2219-5491

Conference

Conference12th European Signal Processing Conference, EUSIPCO 2004
CountryAustria
CityVienna
Period04/9/604/9/10

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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