内容：
Matlab 语音信号处理
摘要
语音信号处理是研究用数字信号处理技术和语音学知识对语音信号进行处理的新兴的学科，是目前发展最为迅速的信息科学研究领域的核心技术之一。通过语音传递信息是人类最重要、最有效、最常用和最方便的交换信息形式。
Matlab 语言是一种数据分析和处理功能十分强大的计算机应用软件，它可以将声音文件变换为离散的数据文件，然后利用其强大的矩阵运算能力处理数据，如数字滤波、傅里叶变换、时域和频域分析、声音回放以及各种图的呈现等，它的信号处理与分析工具箱为语音信号分析提供了十分丰富的功能函数，利用这些功能函数可以快捷而又方便地完成语音信号的处理和分析以及信号的可视化，使人机交互更加便捷。信号处理是 Matlab 重要应用的领域之一。
本设计通过下载 一段语音，对其进行了时域分析，频谱分析 , 分析语音信号的特性。并应用 matlab 平台对语音信号 除去噪声，进一步设计 三 种滤波器即高通滤波器、低通滤波器 、 带通滤波器 ， 基于洪泽 三 种滤波器设计原理，用窗函数法设计出这 三 种滤波器，然后含加噪的语音信号 进行滤波处理。最后对比滤波前后的语音信号的时域和频域特性，回放含 噪语音信号和去噪语音信号，对比研究了 IIR 滤波器和 FIR 滤波器在信号处理尤其是信号滤波去噪方面的特性和应用。论文从理论和实践上比较不同数字滤波器的滤波效果。
关键字： Matlab ；语音信号 ； 信号处理；傅里叶变换；滤波器



The Design of Analysis  Voice  Signal
Abstract
Speech signal processing is to study the use of digital signal processing technology and knowledge of the voice signal voice processing of the emerging discipline is the fastest growing areas of information science one of the core technology. Transmission of information through the voice of humanity's most important, most effective, most popular and most convenient form of exchange of information..
Matlab language is a data analysis and processing functions are very powerful computer application software, sound files which can be transformed into discrete data files, then use its powerful ability to process the data matrix operations, such as digital filtering, Fourier transform, when domain and frequency domain analysis, sound playback and a variety of map rendering, and so on. Its signal processing and analysis toolkit for voice signal analysis provides a very rich feature function, use of these functions can be quick and convenient features complete voice signal processing and analysis and visualization of signals, makes computer interaction more convenient . Matlab Signal Processing is one of the important areas of application.
The design of mobile phone collection a noisy speech, has carried on the analysis in time domain, frequency spectrum analysis, analysis of the characteristics of speech signal. And application of the MATLAB platform to the voice signal to remove noise, the further design of  three  kinds of filter is a high-pass filter, low-pass filter, bandpass filter, based on the Hongze  three  kinds of filter design, window function method to design the  three  kinds of filter, and then with the original speech signal filtering. Finally the comparison before and after filtering the speech signal in time domain and frequency domain, the playback noise speech signal denoising and the voice signal, a comparative study of the IIR filter and a FIR filter in signal processing especially for signal denoising in terms of the characteristics and application of. The theory and practice from the comparison of different digital filtering effect.
Keywords:  Matlab; speech signal; signal processing; FFT; filter

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