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基于离散小波变换与小波包分解的语音增强算法
引用本文:王振力,张雄伟,刘守生,韩彦明. 基于离散小波变换与小波包分解的语音增强算法[J]. 解放军理工大学学报(自然科学版), 2005, 6(5): 20-23
作者姓名:王振力  张雄伟  刘守生  韩彦明
作者单位:[1]解放军理工大学通信工程学院,江苏南京210007 [2]解放军理工大学理学院,江苏南京211101 [3]空军驻沪宁地区军事代表室,江苏南京210013
摘    要:提出了一种基于离散小波变换(DWT)和小波包分解(WPD)的语音增强算法.该算法首先将带噪语音进行离散小波变换,并分别对离散逼近信号和离散细节信号采用不同的基小波进行小波包分解,再按照不同的规则选取阈值进行去噪,最后对去噪后的语音信号完成重构.计算机仿真表明,在计算量相当的情况下,该算法优于离散小波变换法去噪和小波包分解法去噪.

关 键 词:离散小波变换 小波包分解 语音增强 软限幅函数
文章编号:1009-3443(2005)05-0424-04
收稿时间:2004-11-01
修稿时间:2004-11-01

Algorithm for speech enhancement based on discrete wavelet transformand wavelet packet decomposition
WANG Zhen-li,ZHANG Xiong-wei,LIU Shou-sheng and HAN Yan-ming. Algorithm for speech enhancement based on discrete wavelet transformand wavelet packet decomposition[J]. Journal of PLA University of Science and Technology(Natural Science Edition), 2005, 6(5): 20-23
Authors:WANG Zhen-li  ZHANG Xiong-wei  LIU Shou-sheng  HAN Yan-ming
Affiliation:WANG Zhen-li, ZHANG Xiong-wei, LIU Shou-sheng, HAN Yan-ming (1. Institute of Communications Engineering, PLA Univ. of Sci.
Abstract:An algorithm based on discrete wavelet transform(DWT) and wavelet packet decomposition(WPD) for speech enhancement was presented.It was described as follows: DWT is first used for noisy speech.WPD was then employed for the discrete approximation coefficients and the discrete detail coefficients by different basis wavelets.Various rules were adopted for selecting thresholds to denoise.The denoised signal was finally reconstructed.Computer simulation results indicate that the new algorithm can obtain better performance than those of DWT and WPD under comparative computational complexity.
Keywords:DWT(discrete wavelet transform)  WPD(wave let packet decomposition)  speech enhan-cement  soft threshold function  
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