两种新的语音自适应增强算法研究

J4 ›› 2013, Vol. 35 ›› Issue (5): 173-179.

两种新的语音自适应增强算法研究

姜占才1,2，杨林1

（1.青海师范大学物理系，青海西宁 810008;2.青海师范大学藏文信息处理中心,青海西宁 810008）

收稿日期:2012-03-19 修回日期:2012-09-06 出版日期:2013-05-25 发布日期:2013-05-25
基金资助:
青海省科技厅项目(2009-Z-719)

Two new algorithms of adaptive speech enhancement

JIANG Zhancai1,2，YANG Lin1

(1.Department of Physics,Qinghai Normal University,Xining 810008;
2.Center of Tibetan Information Processing,Qinghai Normal University,Xining 810008,China)

Received:2012-03-19 Revised:2012-09-06 Online:2013-05-25 Published:2013-05-25

摘要/Abstract

摘要：

针对自适应语音增强中需要已知参考输出信号的问题，提出了两种自适应增强算法：该算法只有语音的噪声观测一个输入，无需输入信号的延时量。用谱减法估计期望信号，以此作为滤波器输出信号的参考信号；以滤波器的输出与参考信号的差值为误差信号；用LMS和RLS算法分别求得滤波器权系数修正量；采用块技术和符号技术减少权系数修正的运算量，提高算法的收敛速度。在各种信噪比下对不同的语音进行仿真实验，并与改进的谱减法比较，结果表明，该两种算法的增强效果均优于改进的谱减法，在信噪比为3dB时增强效果仍能令人满意。

关键词: 语音自适应增强, 谱减法, LMS算法, RLS算法, 滤波器权系数

Abstract:

Be aimed at the problem that reference output signal is required in adaptive speech enhancement, the paper proposed two new algorithms: It just uses an input value of observation voice noise, it avoids using a delay quantity of input signal. This algorithm detected an expected speech signal of derived from spectral subtraction, this expected signal is used as reference signal of the output filter; It choose differences as the error signal between the referenced signal and the output filter, The filters of reconstruction are revised directly by filter corrective value based on LMS and RLS of weigh. This algorithm adopts the way with block technology and symbol technology. It reduces the computation of corrective weight and improves the convergence speed. The simulation experiment shows that the algorithm can effectively enhance speech in all kinds of SNR, and it is superior to Spectral Subtraction. The result shows that the enhancement method is satisfaction in the 3 dB.

Key words: adaptive speech enhancement;spectral subtraction;LMS algorithm;RLS algorithm;filter weight coefficient

姜占才1,2，杨林1. 两种新的语音自适应增强算法研究[J]. J4, 2013, 35(5): 173-179.

JIANG Zhancai1,2，YANG Lin1. Two new algorithms of adaptive speech enhancement [J]. J4, 2013, 35(5): 173-179.