Near-common zeros in blind identification of simo acoustic systems

Patrick A. Naylor, Xiang Lin, Andy W.H. Khong

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

6 Citations (Scopus)

Abstract

The common zeros problem for Blind System Identification (BSI) has been well known to degrade the performance of classic BSI algorithms and therefore limits performance of subsequent speech dereverberation. Recently, we have shown that multichannel systems cannot be well identified if near-common zeros are present. In this work, we further study the near-common zeros problem using channel diversity measure. We then investigate the use of forced spectral diversity (FSD) based on a combination of spectral shaping filters and effective channel undermodelling. Simulation results show the effectiveness of the proposed approach.

Original languageEnglish
Title of host publication2008 Hands-free Speech Communication and Microphone Arrays, Proceedings, HSCMA 2008
Pages21-24
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008 - Trento, Italy
Duration: May 6 2008May 8 2008

Publication series

Name2008 Hands-free Speech Communication and Microphone Arrays, Proceedings, HSCMA 2008

Conference

Conference2008 Hands-free Speech Communication and Microphone Arrays, HSCMA 2008
Country/TerritoryItaly
CityTrento
Period5/6/085/8/08

ASJC Scopus Subject Areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Communication

Keywords

  • Blind system identification
  • Channel identifiability condition
  • Forced spectral diversity
  • Near-common zeros

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