Removal of residual crosstalk components in blind source separation using LMS filters

R. Mukai, S. Araki, H. Sawada, S. Makino

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

20 Citations (Scopus)

Abstract

The performance of blind source separation (BSS) using independent component analysis (ICA) declines significantly in a reverberant environment. The degradation is mainly caused by the residual crosstalk components derived from the reverberation of the jammer signal. This paper describes a post-processing method designed to refine output signals obtained by BSS. We propose a new method which uses LMS filters in the frequency domain to estimate the residual crosstalk components in separated signals. The estimated components are removed by non-stational spectral subtraction. The proposed method removes the residual components precisely, thus it compensates for the weakness of BSS in a reverberant environment. Experimental results using speech signals show that the proposed method improves the signal-to-interference ratio by 3 to 5 dB.

Original languageEnglish
Title of host publicationNeural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002
EditorsSamy Bengio, Scott Douglas, Tulay Adali, Jan Larsen, Herve Bourlard
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages435-444
Number of pages10
ISBN (Electronic)0780376161
DOIs
Publication statusPublished - 2002
Externally publishedYes
Event12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 - Martigny, Switzerland
Duration: 2002 Sep 6 → …

Publication series

NameNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
Volume2002-January

Other

Other12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002
Country/TerritorySwitzerland
CityMartigny
Period02/9/6 → …

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Software
  • Computer Networks and Communications
  • Signal Processing

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