• DocumentCode
    746508
  • Title

    Time-domain parameterization of the closing phase of glottal airflow waveform from voices over a large intensity range

  • Author

    Bäckström, Tom ; Alku, Paavo ; Vilkman, Erkki

  • Author_Institution
    Lab. of Acoust. & Audio Signal Process., Helsinki Univ. of Technol. (HUT), Finland
  • Volume
    10
  • Issue
    3
  • fYear
    2002
  • fDate
    3/1/2002 12:00:00 AM
  • Firstpage
    186
  • Lastpage
    192
  • Abstract
    The aim of this paper is to analyze and compare two time-domain parameterization methods of the glottal flow waveform on a large intensity range. The first parameter is the classical closing quotient which indicates the portion of a period where the glottis is closing. The second parameter is the normalized amplitude quotient which is defined using the ratio between the maximum flow amplitude and the negative peak amplitude of the differentiated glottal flow. The parameters are shown to be strongly correlated, and the normalized amplitude quotient to be a more accurate, consistent and robust measure than the closing quotient. The subjects, five female and six male, produced sustained phonations on a large intensity range. On this material, the normalized amplitude quotient is shown to vary systematically with sound pressure level, and it reveals information that for the closing quotient is hidden in the local variance
  • Keywords
    acoustic signal processing; correlation methods; filtering theory; parameter estimation; speech processing; time-domain analysis; closing phase; closing quotient; correlated parameters; differentiated glottal flow; glottal airflow waveform; glottal waveform measurements; inverse filtering; large intensity range; local variance; maximum flow amplitude; negative peak amplitude; normalized amplitude quotient; sound pressure level; sustained phonations; time-domain parameterization; voice analysis; Acoustic materials; Acoustic waves; Filtering; Instruments; Microphones; Mouth; Pulse measurements; Robustness; Speech analysis; Time domain analysis;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/TSA.2002.1001983
  • Filename
    1001983