• DocumentCode
    134239
  • Title

    Investigation on articulatory and acoustic characteristics of dysarthria

  • Author

    Chengran Zhang ; Jianwu Dang ; Jianan Zhang ; Jianguo Wei

  • Author_Institution
    Tianjin Key Lab. of Cognitive Comput. & Applic., Tianjin Univ., Tianjin, China
  • fYear
    2014
  • fDate
    12-14 Sept. 2014
  • Firstpage
    326
  • Lastpage
    330
  • Abstract
    Direct measurement of articulation contributes to figure out the mechanism of dysarthric speech production accurately, comparing to analyzing acoustic signal alone. This study makes a statistical comparison between dysarthric and normal speech, and investigates and analyzes dysarthric characteristics based on articulatory and acoustic data of continuous English utterance. The distribution of the articulatory point is calculated for each vowel, where the vowels show a relatively smaller region for dysarthria than for normal speech. This implies that the speakers with dysarthria may have some difficulties to fully use the articulatory space as the speakers without dysarthria. The rhythm and sound source are analyzed using autocorrelation function, power spectrum and linear prediction coding. The results reveal that the speakers without dysarthria can keep steady rhythm and energy in uttering consonant-vowel repetition sequences but it is hard for the speakers with dysarthria to maintain the stability. Meanwhile, the dysarthric sound source shows unstable period of the fundamental frequency, which reflects that the speakers with dysarthria could not control the glottis movement well.
  • Keywords
    acoustic signal processing; medical disorders; natural language processing; speaker recognition; acoustic data; acoustic signal analysis; articulatory data; articulatory point distribution; articulatory space; autocorrelation function; consonant-vowel repetition sequences; continuous English utterance; dysarthric characteristics; dysarthric sound source; dysarthric speech; dysarthric speech production; fundamental frequency; glottis movement; linear prediction coding; normal speech; power spectrum; Correlation; Rhythm; Speech; Speech recognition; Standards; Tongue; articulator movement; dysarthria; speech analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2014 9th International Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2014.6936631
  • Filename
    6936631