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语音消噪应用研究
引用本文:田玉静,左红伟,郭芳华. 语音消噪应用研究[J]. 声学技术, 2008, 27(4): 557-561
作者姓名:田玉静  左红伟  郭芳华
作者单位:1. 青岛理工大学现代教育技术中心,山东青岛,266033
2. 青岛理工大学土木工程学院,山东青岛,266033
3. 西安工业大学电子信息工程学院,西安,710032
摘    要:从时域与频域对比研究了低信噪比语音消噪问题,时域采用LMS自适应消噪,频域分析选用小波技术,对两种消噪方法进行了系统全面的分析,对比讨论了各自的优势及不足,对实际信号进行了仿真消噪并与原始语音取样信号相比较,研究表明选用消噪方法对低信噪比语音消噪是明显有效的,LMS自适应消噪及小波消噪具有很强的实际应用价值。

关 键 词:自适应消噪  LMS算法  小波消噪
收稿时间:2008-04-01
修稿时间:2008-06-26

Speech de-noising application study
TIAN Yu-jing,ZUO Hong-wei and GUO Fang-hua. Speech de-noising application study[J]. Technical Acoustics, 2008, 27(4): 557-561
Authors:TIAN Yu-jing  ZUO Hong-wei  GUO Fang-hua
Affiliation:TIAN Yu-jing, ZUO Hong-wei, GUO Fang-hua (1. Modern Education and Technology Center, Qingdao Technology University, Qingdao 266033, Shandong, China; 2. School of Civil Engineering,Qingdao Technological University, QingDao 266033, Shandong, China; 3. School of Information and Electrical Engineering, Xi'an Technological University, Xi'an 710032, China)
Abstract:From the time and the frequency domains a study of de-noising problem for lower signal to noise radio is made: the adaptive noise reduction with LMS algorithm is used in the time domain analysis and the wavelet de-noising is used in the frequency domain study. The two methods are analyzed by contrast, and their advantage and weakness are discussed. A sample signal of speech with noise is simulated, and the de-noised sample signal is compared with the pure speech sample signal. The research result shows a good effect on noise reduction by means of the selected methods.
Keywords:adaptive noise reduction  LMS algorithm  wavelet de-noising
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