A robust speech enhancement system for vehicular applications using H adaptive filtering

Chieh Cheng Cheng*, Wei Han Liu, Chia Hsing Yang, Jwu-Sheng Hu

*Corresponding author for this work

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

4 Scopus citations

Abstract

This work proposes a novel and robust adaptive speech enhancement system, which contains both time-domain and frequency-domain beamformers using H filtering approach in vehicle environments. A corresponding microphone array data acquisition hardware is also designed and implemented. Traditionally, mutually matched microphones are needed, but this requirement is not practical. To conquer this issue, the proposed system adapts the mismatch dynamics to allow unmatched microphones to be used in an array. Furthermore, to achieve a satisfactory speech recognition performance, the speech recognizer is usually required to be retrained for different vehicle environments due to different noise characteristics and channel effects. The channel effect usually causes the modeling error in a channel recovery process because of the long channel response. The proposed system using the H filtering approach, which makes no assumptions about noise and disturbance, is robust to the modeling error. Consequently, the proposed frequency-domain beamformer provides a satisfactory performance without the need to retrain the speech recognizer.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Systems, Man and Cybernetics
Pages2541-2546
Number of pages6
DOIs
StatePublished - 28 Aug 2007
Event2006 IEEE International Conference on Systems, Man and Cybernetics - Taipei, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume3
ISSN (Print)1062-922X

Conference

Conference2006 IEEE International Conference on Systems, Man and Cybernetics
CountryTaiwan
CityTaipei
Period8/10/0611/10/06

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