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A Robust Speech Enhancement System for Vehicular Applications Using H∞ Adaptive Filtering

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4 Author(s)
Chieh-Cheng Cheng ; Nat. Chiao Tung Univ., Hsinchu ; Wei-Han Liu ; Chia-Hsing Yang ; Jwu-Sheng Hu

This work proposes a novel and robust adaptive speech enhancement system, which contains both time-domain and frequency-domain beamformers using Hinfin 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 Hinfin 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.

Published in:

Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on  (Volume:3 )

Date of Conference:

8-11 Oct. 2006

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