• 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