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