DocumentCode :
2155220
Title :
Time-frequency analysis to detect signature in signals
Author :
Prabhakaran, P.N. ; Renuga, M. ; Sundareswari, M.Banu
Author_Institution :
Department of Electronics and Instrumentation Engineering J.J. College of Engineering and Technology Trichy, India
fYear :
2012
fDate :
13-14 Dec. 2012
Firstpage :
505
Lastpage :
508
Abstract :
This paper describes the pitch detection techniques using autocorrelation method and modified autocorrelation method involving preprocessing and extraction of pitch pattern. The autocorrelation method and Time-Frequency analysis namely spectrogram has been used to detect the fundamental frequency (or) pitch of the signal, energy and envelope detection for different speech patterns. Speech based systems have many advantages including ease of use and implementation, low cost and high user acceptance. Simulation are done by MATLAB/SIMULINK.
Keywords :
Autocorrelation function; Clipping; Pitch; Pitch detection; Speech analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Trends in Science, Engineering and Technology (INCOSET), 2012 International Conference on
Conference_Location :
Tiruchirappalli, Tamilnadu, India
Print_ISBN :
978-1-4673-5141-6
Type :
conf
DOI :
10.1109/INCOSET.2012.6513956
Filename :
6513956
Link To Document :
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