不同小波基函数下的语音去噪研究  

Research on speech signal denoising in different wavelet basis function

作　　者：史荣珍[1] 王怀登 袁杰[2] 

机构地区：[1]南京大学金陵学院信息科学与工程学院,江苏南京210089 [2]南京大学电子科学与工程学院,江苏南京210093

出　　处：《现代电子技术》2014年第3期49-51,共3页Modern Electronics Technique

基　　金：江苏省自然科学基金(BK2010386);南京大学金陵学院教学改革资金项目(0010111208)

摘　　要：为了分析语音去噪的效果,首先介绍了小波变换和分解的相关理论知识,然后对Daubechies小波、Symmlets小波、Coiflets小波和Haar小波特性做了比较分析。最后选取一段添加了高斯白噪声的实际语音信号,选取heursure启发式阈值,利用Matlab软件分别对各种小波基下的去噪效果进行仿真实验。并通过计算去噪前后的信噪比(SNR)和最小均方差(MSE)的值,分析比较各种小波基函数的去噪效果,并得出最优小波基函数。In order to analyze the effect of speech de-noising,the relevant theoretical knowledge of the wavelet transform and decomposition are introduced,and then the features of Daubechies wavelet,Symmlets wavelet,Coiflets wavelet and Haar wavelet are compared and analyzed. A section of real speech signals added with Gaussian white noise is chosen,and the simula-tion experiment of the denoising effect in different wavelet basis is conducted in Matlab with heursure threshold. Through calcu-lating the signal to noise ratio（SNR）and minimum mean square error（MSE）before and after denoising,and the performance of various wavelet basis functions are analyzed and compared,and the optimal wavelet function is obtained.

关 键 词：小波分析 去噪 阈值函数 信噪比 最小均方误差 

分 类 号：TN912.3[电子电信—通信与信息系统] TP391.9[电子电信—信息与通信工程]