基于MATLAB的语音信号分析及滤波  

Voice Signal Analysis and Filtering Based on MATLAB

作　　者：谢丽英 房丽敏 XIE Liying;FANG Limin(Department of Physics and Information Engineering,Guangdong University of Education,Guangzhou,Guangdong,510303,P.R.China)

机构地区：[1]广东第二师范学院物理与信息工程系,广东广州510303

出　　处：《广东第二师范学院学报》2020年第5期43-47,共5页Journal of Guangdong University of Education

基　　金：广东第二师范学院教学质量与教学改革工程项目“加噪语音信号分析及滤波器设计虚拟仿真实验”。

摘　　要：应用MATLAB软件对语音信号进行时域和频域的分析,描述MATLAB软件分析语音信号的主要函数,并研究含噪语音信号的分析和滤波.语音信号的频谱主要集中在低频段,当噪声的频率高于语音信号或者语音信号中含有高斯白噪声时,可以通过频域分析识别出噪声信号,并应用低通滤波器滤除大部分噪声,从而改善含噪语音信号.但是当噪声的频谱成分主要位于语音信号的频谱范围内时,通过频谱分析很难分辨出此类噪声信号,应用低通滤波器也不能改善含噪语音信号.MATLAB software is used to analyze speech signal in time domain and frequency domain.The main analysis functions of speech signal in MATLAB software are described.The analysis and filtering of noisy speech signal are studied.When the frequency of noise is higher than that of speech signal or there is Gaussian white noise in speech signal,the noise signal can be identified by frequency domain analysis,and most of the noise can be filtered out by low-pass filter,so as to improve the noisy speech signal.However,when the spectrum components of noise are mainly in the spectrum range of speech signal,it is difficult to distinguish such noise signal through spectrum analysis,and the application of low-pass filter can not improve the noisy speech signal.

关 键 词：MATLAB 语音信号 快速傅里叶变换 滤波 

分 类 号：G424.28[文化科学—课程与教学论]