• DocumentCode
    3474751
  • Title

    Pitch detection in time, frequency and cepstral domain for articulatory handicapped people

  • Author

    Bhabad, Sanjivani S. ; Kharate, G.K. ; Stunde, Smita C.

  • Author_Institution
    Electron. & Telecommun., R.S.C.O.E., Pune, India
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    80
  • Lastpage
    84
  • Abstract
    Pitch is an important parameter of speech. A good estimation of pitch period is crucial to the performance of speech analysis and synthesis system. This paper describes autocorrelation and AMDF method for pitch detection in time domain. FFT, spectral autocorrelation method in frequency domain and cepstral domain algorithm for pitch detection. Voiced and unvoiced part of the speech is separated for further speech processing using pitch. Results are obtained for database of articulatoy handicapped people.
  • Keywords
    handicapped aids; speech synthesis; AMDF method; FFT; articulatory handicapped people; cepstral domain; frequency domain; pitch detection; spectral autocorrelation method; speech analysis; speech parameter; speech processing; synthesis system; time domain; Cepstral analysis; Conferences; Decision support systems; Technological innovation; Pitch; cepstral domain; frequency; time; unvoiced; voiced;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MOOC Innovation and Technology in Education (MITE), 2013 IEEE International Conference in
  • Conference_Location
    Jaipur
  • Print_ISBN
    978-1-4799-1625-2
  • Type

    conf

  • DOI
    10.1109/MITE.2013.6756310
  • Filename
    6756310