Adaptive multichannel linear prediction based dereverberation in time-varying room environments

Jae Mo Yang, Hong Goo Kang

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

2 Citations (Scopus)

Abstract

This paper proposes a real-time acoustic channel equalization method with an adaptive multi-channel linear prediction technique. The proposed method takes a theoretically perfect channel equalization algorithm that also solves the problems existed in the actual implementation stage. The linear-predictive multi-input equalization (LIME) is an appropriate attempt for performing blind dereverberation with assuring the theoretical basis, however, it requires a huge computational cost for calculating large dimension of covariance matrix and its inversion. The proposed equalizer is formed as the multichannel linear prediction (MLP) oriented structure with a new formula that is optimized to time-varying acoustical room environments. Experimental results under both artificially generated and real room environments with a conversational speech confirm the superiority of the proposed method.

Original languageEnglish
Title of host publication2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Print)9780992862602
Publication statusPublished - 2013 Jan 1
Event2013 21st European Signal Processing Conference, EUSIPCO 2013 - Marrakech, Morocco
Duration: 2013 Sep 92013 Sep 13

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491

Other

Other2013 21st European Signal Processing Conference, EUSIPCO 2013
CountryMorocco
CityMarrakech
Period13/9/913/9/13

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All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Yang, J. M., & Kang, H. G. (2013). Adaptive multichannel linear prediction based dereverberation in time-varying room environments. In 2013 Proceedings of the 21st European Signal Processing Conference, EUSIPCO 2013 [6811657] (European Signal Processing Conference). European Signal Processing Conference, EUSIPCO.