• DocumentCode
    703510
  • Title

    The method of pitch frequency detection on the base of tuning to its harmonics

  • Author

    Sercov, V. ; Petrovsky, A.

  • Author_Institution
    Comput. Sci. Dept., Univ. of Technol. Bialystok, Białystok, Poland
  • fYear
    1998
  • fDate
    8-11 Sept. 1998
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The major part of speech compression algorithms from the first simple formant vocoders to widely used at presence LP- and MBE-vocoders in spite of different principals of coding use by the analysis-synthesis procedures information about the frequency of pitch [1-3]. There is a number of methods for its detection [4-6] : on the base of auto-correlation processing, cepstrum analysis, after linear prediction remaining signal. The methods provide good results when analysing parts of speech with pronounced vocalisation by insignificant noise level. When there is a strong noise component in the input signal the number of errors and accuracy of pitch frequency detection is greatly increased [7]. To eliminate the errors they use generally either method of linear smoothing of pitch contour that additionally decrease the accuracy. The paper presents the method and algorithm of pitch frequency detection which doesn´t provide gross errors and lias the high accuracy.
  • Keywords
    data compression; noise; speech coding; tuning; vocoders; MBE-vocoders; analysis-synthesis procedures information; auto-correlation processing; cepstrum analysis; linear prediction remaining signal; linear smoothing; noise level; pitch contour; pitch frequency detection method; simple formant vocoders; speech compression algorithms; tuning base; Accuracy; Frequency estimation; Harmonic analysis; Smoothing methods; Speech; Time-frequency analysis; Tuning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference (EUSIPCO 1998), 9th European
  • Conference_Location
    Rhodes
  • Print_ISBN
    978-960-7620-06-4
  • Type

    conf

  • Filename
    7089981