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基于自适应提升小波变换的语音增强算法的研究
引用本文:陈立伟,赵春晖,姜海丽.基于自适应提升小波变换的语音增强算法的研究[J].哈尔滨工程大学学报,2005,26(5):668-671.
作者姓名:陈立伟  赵春晖  姜海丽
作者单位:哈尔滨工程大学,信息与通信工程学院,黑龙江,哈尔滨,150001;哈尔滨工程大学,理学院,黑龙江,哈尔滨,150001
基金项目:黑龙江省自然科学基金资助项目(F2004-09)
摘    要:语音增强是解决噪声污染的有效方法,它的首要目标是在接收端尽可能从带噪语音中恢复纯净的语音信号.Sweldens等人引入了基于提升法的小波变换,也称为第二代小波变换.提升法是一种柔性的小波构造方法,它可以使用许多线性,非线性或者空间变化的预测和更新算子,而且可以确保变换的可逆性.该文讨论强背景噪声下的基于自适应提升小波变换的语音增强方法,并与自相关相减法语音增强算法进行比较.计算机仿真结果表明,该方法在大大消除背景噪声同时保持语音信号较好的可懂度.

关 键 词:语音增强  小波变换  提升  自相关
文章编号:1006-7043(2005)05-0668-04
收稿时间:2004-07-02
修稿时间:2004年7月2日

Speech enhancement algorithm based on adaptive lifting wavelet transforms
CHEN Li-wei,ZHAO Chun-hui,JIANG Hai-li.Speech enhancement algorithm based on adaptive lifting wavelet transforms[J].Journal of Harbin Engineering University,2005,26(5):668-671.
Authors:CHEN Li-wei  ZHAO Chun-hui  JIANG Hai-li
Affiliation:1. School of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China; 2. School of Science, Harbin Engineering University, Harbin 150001, China
Abstract:Speech enhancement is an efficient method for removing noise.To a great extent,speech enhancement's aim is to resume the pure speech signal from the speech signal that contains noise.The lifting method,also named the second age wavelet,is a flexible constructing method that can use many linear,non-linear or prediction and upgrading operators,and can have inverse transform.Presented is a speech enhancement algorithm based on adaptive wavelet transform via lifting,as well as a comparison with the self-correlation subtraction algorithm.Experiment results show this method can eliminate background noise and make speech performance excellent.
Keywords:speech enhancement  wavelet transform  lifting method  autocorrelation
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