• DocumentCode
    775061
  • Title

    Automatic and reliable estimation of glottal closure instant and period

  • Author

    Cheng, Yan Ming ; O´Shaughnessy, Douglas

  • Author_Institution
    INRS-Telecommun., Verdun, Que., Canada
  • Volume
    37
  • Issue
    12
  • fYear
    1989
  • fDate
    12/1/1989 12:00:00 AM
  • Firstpage
    1805
  • Lastpage
    1815
  • Abstract
    The authors present an automatic and reliable algorithm for determining glottal closure instant (GCI). As a byproduct, nonstationary fundamental period estimation is achieved. The computation includes twelve-pole speech linear-prediction analysis, cross correlation, and both direct and inverse fast Fourier transforms (or a convolution). Maximum-likelihood epoch determination is used as the basis for locating GCIs, and the Hilbert transformation is applied to improve performance and reliability. A description of the system and the voiced/unvoiced/mixed (V/UV/M) decision procedure is given. The results show that the algorithm works in noise-free, noisy, and very noisy signals for vowels as well as for voiced constants. The proposed pitch estimation only needs a very short frame length and gives accurate results at voice onset
  • Keywords
    speech; speech analysis and processing; Hilbert transformation; automatic and reliable algorithm; cross correlation; fast Fourier transforms; glottal closure instant; maximum likelihood; noisy signals; period; pitch estimation; twelve-pole speech linear-prediction analysis; voiced constants; vowels; Autocorrelation; Cepstral analysis; Maximum likelihood detection; Maximum likelihood estimation; Prediction algorithms; Signal processing algorithms; Speech coding; Speech synthesis; Stress; Yield estimation;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.45529
  • Filename
    45529