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⛄ 内容介绍
基音周期是《语音信号处理》中的重点和难点,基音周期作为语音信号的重要参数,在语音编码,语音合成和语音识别等方面,有着非常重要的作用.本文采用Matlab对基因周期进行仿真分析,从仿真图上查看语音信号的基音周期,让学生更形象的理解语音信号的基音周期.
⛄ 部分代码
%^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^%
function st_help
disp(' ')
disp('st() HELP COMMAND')
disp('st() returns - 1 or an error message if it fails')
disp('USAGE:: [localspectra,timevector,freqvector] = st(timeseries)')
disp('NOTE:: The function st() sets default parameters then calls the function strans()')
disp(' ')
disp('You can call strans() directly and pass the following parameters')
disp(' **** Warning! These inputs are not checked if strans() is called directly!! ****')
disp('USAGE:: localspectra = strans(timeseries,minfreq,maxfreq,samplingrate,freqsamplingrate,verbose,removeedge,analytic_signal,factor) ')
disp(' ')
disp('Default parameters (available in st.m)')
disp('VERBOSE - prints out informational messages throughout the function.')
disp('REMOVEEDGE - removes the edge with a 5% taper, and takes')
disp('FACTOR - the width factor of the localizing gaussian')
disp(' ie, a sinusoid of period 10 seconds has a ')
disp(' gaussian window of width factor*10 seconds.')
disp(' I usually use factor=1, but sometimes factor = 3')
disp(' to get better frequency resolution.')
disp(' ')
disp('Default input variables')
disp('MINFREQ - the lowest frequency in the ST result(Default=0)')
disp('MAXFREQ - the highest frequency in the ST result (Default=nyquist')
disp('SAMPLINGRATE - the time interval between successive data points (Default = 1)')
disp('FREQSAMPLINGRATE - the number of frequencies between samples in the ST results')
% end of st_help procedure
⛄ 运行结果
⛄ 参考文献
[1] 朱徐来.Matlab在基音周期检测教学中的应用研究[J].电脑知识与技术：学术版, 2020, 16(2):2.DOI:CNKI:SUN:DNZS.0.2020-02-081.
[2] 段继鹏,李春泉,熊殷.基于MATLAB的语音信号基音周期检测的实现[J].中国科技博览, 2008(21):2.
[3] 王丽.基于MATLAB的自相关函数基音检测的优化[J].电脑知识与技术:学术交流, 2009.
