基于Matching Pursuits时频分解算法的传声器阵语音增强  

Microphone Arrays Speech Enhancement With Matching Pursuits Algorithm in Time-Frequency Domain

作　　者：李琴[1] 曾庆宁[1] 王文延[2] 

机构地区：[1]桂林电子科技大学通信与信息工程系,广西桂林541004 [2]广西师范大学物理与电子工程学院,广西桂林541004

出　　处：《电声技术》2007年第8期53-55,59,共4页Audio Engineering

基　　金：国家自然科学基金(60272038);广西自然科学基金(0639028)

摘　　要：根据在时频域中对含噪语音信号进行的时频分析研究,提出1种基于MatchingPursuits时频分解算法的语音降噪方法。利用MatchingPursuits算法对含噪语音信号进行分解,将分解后各分量的魏格纳分布之和作为整个信号的魏格纳分布,使信号在时频平面上有较直观的分布,并利用此特点对信号进行降噪。仿真结果表明:此方法能在保证可懂度的情况下,有效去除含噪语音信号中的宽带噪声。With the study of the speech signal in the time-frequency domain, a new method in which algorithm Matching. Pursuits algorithm is used to decompose the signal in time-frequency domain is proposed. The sum of Wigner distribution of each part signal is treated as the whole signal Wigner distribution, and an intuitionistic distribution of signal is shown on the time-frequency platform. The results show that using this method, the wideband noise can be eliminated and the speech can be understood easily by people.

关 键 词：时频分析 传声器阵 MATCHING Pursuits 时频原子 

分 类 号：TN912[电子电信—通信与信息系统]