Realization of Spectrum Analysis of Speech Signal Based

Authors

  • Wenyong Xu Communication and Information Engineering, Changshu University, Jiangsu, China
  • Jingjing Wu
  • Junlin Chen

DOI:

https://doi.org/10.18063/ieac.v1i1.773

Keywords:

MATLAB, spectrum analysis, Fourier transform, speech signal, signal analysis

Abstract

MATLAB is a very powerful engineering and practical software for data analysis and processing. It is very convenient to analyze and deal with it. This paper introduces how to collect the speech signal and voice signal acquisition in MATLAB environment, and analyze the MATLAB of speech signal processing by an example. The basic principle and basic process of texture image analysis based on Fourier transform spectrum are described by MATLAB simulation of sinusoidal texture image and spectral characteristic analysis of sinusoidal texture image. The program is written, and the spatial texture image with ideal sine distribution is obtained, and its spectral characteristics are analyzed. According to the defi nition of discrete Fourier transform DFT, a method of calculating the amplitude spectrum of discrete signal by DFT is deduced. The eff ectiveness of the method is verifi ed by MATLAB simulation.

References

Huang Zhigong. A continuous signal spectrum analysis based on MATLAB [J]. Guangxi Physics, 2009, (03).

Liu Xiaobo, Zhou Yunbo. Based on Matlab DFT and FFT spectrum analysis [J]. Shanxi Electronics Technology, 2010, (04).

Dong Jingwei, Yu Guangyan. Based on Matlab FFT spectrum analysis and IIR digital fi lter design [J]. Software Guide, 2008,(10).

Zhao Shumin. Based on MATLAB for speech signal spectrum analysis [J].jiangxi communication technology, 2010, (01).

Zeng Shangcui, Shen Hua, Yu Zhenli. Based on the Matlab signal FFT spectrum analysis and display [J]. Technology Bulletin, 2000, (04).

Zeng Xiulian, Cheng Baosheng, Xue-Feng Pan. Continuous time signal spectrum analysis and MATLAB [J]. China Water Transport (academic), 2006 (05).

Yang Feng, Su Yuping, Yu Dongju. MATLAB simulation for digital signal modulation and spectral analysis [J]. Computer Learning, 2008, (04).

Wang Zhan. The application of spectral analysis techniques in practice [J]. Heilongjiang Technical Information, 2009, (27).

Zhao Shumin. Based on MATLAB for speech signal spectrum analysis [J]. Information Communication, 2010, (04).

Li Yuanyuan, Xu Yan, Wang Jingyue. The spectrum analysis of digital signal for MATLAB [J]. Communication technology, 2008, (01).

Wei Kexin. MATLAB language and automatic control system design. Beijing: Mechanical Industry Press. 2002:1-150

Downloads

Published

2018-05-10

Issue

Section

Articles