Speech Signal Enhancement through Wavelet Domain MMSE Filtering
A new speech enhancement system that combine robust signal enhancement and minimum signal distortion is proposed in this paper. The proposed method introduces frequency depended, parametric, MMSE filtering techniques that involve wavelet packets. Voice activity detection (VAD) is used to further distinguish speech from noise and help to adaptively remove noise components from color noise eruptive noisy speech, while perceptual criteria is also taken into account. Experimental results and objective quality measurement test results validate the proposed speech enhancement system and illustrate the benefit of the proposed wavelet domain MMSE filtering as an excellent speech enhancement method to provide sufficient noise reduction and good intelligibility and perceptual quality, without causing considerable signal distortion and musical background noise method.
speech enhancement MMSE filter wavelet package voice activity detection
Zou Fenghua Yang Le Wang Jian Sun Qiang
Department of Computer Science and technology Changchun University Changchun 130022, China Changchun Institute of Optics, Fine Mechanics and Physics Chinese Academy of Sciences Changchun 1300
国际会议
长春
英文
118-121
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）