文章摘要
田玉静,左红伟,郭芳华.语音消噪应用研究[J].声学技术,2008,(4):557~561
语音消噪应用研究
Speech de-noising application study
投稿时间:2008-04-01  修订日期:2008-06-26
DOI:
中文关键词: 自适应消噪  LMS算法  小波消噪
英文关键词: adaptive noise reduction  LMS algorithm  wavelet de-noising
基金项目:
作者单位E-mail
田玉静 青岛理工大学现代教育技术中心, 山东青岛, 266033 tyj@qtech.edu.cn,tianyujing_t@163.com 
左红伟 青岛理工大学土木工程学院, 山东青岛, 266033  
郭芳华 西安工业大学电子信息工程学院, 西安, 710032  
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中文摘要:
      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。
英文摘要:
      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.
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