標題: A robust adaptive speech enhancement system for vehicular applications
作者: Hu, Jwu-Sheng
Cheng, Chieh-Cheng
Liu, Wei-Han
Yang, Chia-Hsing
電控工程研究所
Institute of Electrical and Control Engineering
關鍵字: human machine interaction;speech enhancement;automatic speech recognition;H-infinity filtering
公開日期: 1-Aug-2006
摘要: This work proposes and implements a novel and robust adaptive speech enhancement system, which contains both time domain and frequency domain beamformers using H-infinity filtering approach to provide a clean and undisturbed speech waveform and improve the speech recognition rate in vehicle environments. A microphone array data acquisition hardware is also designed and implemented for the proposed speech enhancement system. Mutually matched microphones are needed for traditional multidimensional noise reduction methods, but this requirement is not practical for consumer applications from the cost standpoint. To overcome this issue, the proposed system adapts the mismatch dynamics to maintain the theoretical performance allowing unmatched microphones to be used in an array. Furthermore, to achieve a high 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 proposed system using the H-infinity filtering approach, which makes no assumptions about noise and disturbance, is robust to the modeling error in a channel recovery process. Consequently, the real vehicular experimental results show that the proposed frequency domain beamformer provides a satisfactory speech recognition performance without the need to retrain the speech recognizer.(1)
URI: http://dx.doi.org/10.1109/TCE.2006.1706509
http://hdl.handle.net/11536/11943
ISSN: 0098-3063
DOI: 10.1109/TCE.2006.1706509
期刊: IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
Volume: 52
Issue: 3
起始頁: 1069
結束頁: 1077
Appears in Collections:Articles


Files in This Item:

  1. 000240697000048.pdf