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一种基于听觉特性的自适应小波语音增强方法
引用本文:曹斌芳,李建奇.一种基于听觉特性的自适应小波语音增强方法[J].计算机工程与应用,2011,47(33):123-125.
作者姓名:曹斌芳  李建奇
作者单位:1.湖南文理学院 物理与电子科学学院,湖南 常德 4150002.湖南文理学院 电气与信息工程学院,湖南 常德 415000
基金项目:湖南文理学院青年专项基金项目(No.YXQN1005); 湖南省自然科学基金常德联合基金(博士创新计划)(No.201102)
摘    要:提出一种基于人类听觉特性的自适应小波滤波算法。该方法用听觉感知小波变换对含噪语音信号进行小波分解,这样可以保证对信号频率和幅值的听觉特性,将经听觉感知小波变换所分离出来的噪声成分作为自适应滤波器的输入。通过采用递推最小二乘算法从而实现信噪分离的最佳滤波,以保证去除信号中的相关噪声。结果表明,该方法能实现非平稳信号在同频段对噪声成分和有用信号的最佳估计,提高了语音的清晰度和可懂度。

关 键 词:听觉感知小波变换  语音增强  递推最小二乘法  
修稿时间: 

Method of adaptive wavelet speech enhancement based on auditory perception
CAO Binfang,LI Jianqi.Method of adaptive wavelet speech enhancement based on auditory perception[J].Computer Engineering and Applications,2011,47(33):123-125.
Authors:CAO Binfang  LI Jianqi
Affiliation:1.Department of Physics and Electronics,Hunan University of Arts and Sciences,Changde,Hunan 415000,China2.Communication and Electric Engineering College,Hunan University of Arts and Sciences,Changde,Hunan 415000,China
Abstract:A method of adaptive wavelet speech enhancement based on human auditory perception is put forward.Noised speech signal is investigated using auditory perception wavelet transform.Auditory perception of signal of frequency and am-plitude is maintained.The separated noise of signal by wavelet transforms is used as the input signal of adaptive filter.The optimal filtering method of signal—noise decomposition is realized by using RLS and correlated noise of removal signal.The simulation shows that the proposed method is excellent to realize the optimal estimate to the valuable signal and noise of the transient signal in the same frequency segment,enhancing the definition and understanding of the speech.
Keywords:auditory perception wavelet transform  speech enhancement  Recursive Least Squares(RLS)  
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