A system-identification-error-robust method for equalization of multichannel acoustic systems

Wancheng Zhang*, Emanuël A.P. Habets, Patrick A. Naylor

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

In hands-free communications, speech received by a microphone is distorted by room reverberation that can reduce the intelligibility of speech. An approach to dereverberation is firstly to estimate the impulse responses of the acoustic channels between the speaker and the microphones and secondly to design a multichannel equalization system based on the estimated impulse responses. Traditional equalization techniques are designed without the consideration of estimation errors that are commonly introduced by the system identification process. In this work, a System-Identification-Error-Robust Equalization Method (SIEREM) for the equalization of multichannel room acoustic systems is presented. Experimental results for dereverberation using SIEREM applied to estimates of single-input multiple-output acoustic systems with known level of estimation errors show that the proposed equalization design significantly outperforms existing methods in the presence of both synthetic and real system identification errors.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages109-112
Number of pages4
ISBN (Print)9781424442966
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States
Duration: 14 Mar 201019 Mar 2010

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)1520-6149

Conference

Conference2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/TerritoryUnited States
CityDallas, TX
Period14/03/1019/03/10

Keywords

  • Channel estimation error
  • Dereverberation
  • Multichannel equalization
  • Robustness
  • Room acoustics

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