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基于DFRCT滤波器组自适应语音增强算法
引用本文:杨桂芹,徐红莉,宁寰宇. 基于DFRCT滤波器组自适应语音增强算法[J]. 计算机工程与应用, 2013, 49(2): 148-151
作者姓名:杨桂芹  徐红莉  宁寰宇
作者单位:兰州交通大学 电子与信息工程学院,兰州 730070
摘    要:提出一种改进的语音增强方法,将带噪语音信号进行子带分解,再对子带信号进行离散分数余弦变换(DFRCT)域滤波,利用了DFRCT良好的正交特性,且自适应滤波采用最小均方(LMS)算法。对滤波后的信号进行DFRCT逆变换得到增强后的子带语音信号,合成增强后的语音信号。仿真结果表明,该算法在减少输入信号自相关程度的基础上,提高了收敛速度,减少了计算时间(约10 s),增强后的语音信号的分段信噪比(SegSNR)和PESQ值都有所提高,具有良好的语音增强效果。

关 键 词:离散分数余弦变换  滤波器组  自适应滤波  子带分解  语音增强  

Method for speech enhancement based on discrete fractional cosine transform and sub-band adaptive filter
YANG Guiqin , XU Hongli , NING Huanyu. Method for speech enhancement based on discrete fractional cosine transform and sub-band adaptive filter[J]. Computer Engineering and Applications, 2013, 49(2): 148-151
Authors:YANG Guiqin    XU Hongli    NING Huanyu
Affiliation:College of Electronic & Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
Abstract:This paper presents an improved speech enhancement method,this method decomposes the noisy speech signal into sub-band signals,then filters the sub-band signals using the adaptive filter in Discrete Fractional Cosine Transform(DFRCT)which has good orthogonal properties,and adaptive filter uses Least Mean Square(LMS)algorithm.It obtains the enhanced sub-band speech signals by using inverse discrete fractional cosine transform to the filtered signal.It composes all enhanced sub-bands signal.Simulation experiments indicate that the proposed algorithm reduces the computing time about 10 s and possesses good performance both in SegSNR and PESQ tests.
Keywords:Discrete Fractional Cosine Transform(DFRCT)  filter banks  adaptive filter  sub-band decomposition  speech enhancement
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