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
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;
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
DOI :
10.1109/INCOSET.2012.6513956