Speech Enhancement Using Transfer Function Ratio Beamformer and Matched Filter Array
Human machine interface for speech processing often suffers from interferences which contain nonstationary signal, stationary signal and reverberation. In this paper, we consider two speech sources in the reverberant and noisy environment and we develop a speech enhancement approach to extract desired speech signal from the corrupt observations. The proposed method uses transfer function ratio beamformer, H∞ adaptive filter algorithm and matched filter array to perform speech enhancement as well as dereverberation at two stages. The desired speech is extracted at the first stage and the extracted speech which contains reverberation is dereverberated at the second stage.
Jwu-Sheng Hu Chia-Hsing Yang
Department of Electrical and Control Engineering,National Chiao Tung University,Hsinchu 300,Taiwan
国际会议
2009 IEEE International Conference on Information and Automation(2009年 IEEE信息与自动化国际学术会议)
珠海、澳门
英文
1161-1166
2009-06-22（万方平台首次上网日期，不代表论文的发表时间）