• DocumentCode
    735035
  • Title

    Automatic evaluation of resonance and articulation disorders in cleft palate speech

  • Author

    Ling He ; Jie Tan ; HuaQing Hao ; Ming Tang ; Heng Yin ; Lech, Margaret

  • Author_Institution
    Sch. of Electr. Eng. & Inf., Sichuan Univ., Chengdu, China
  • fYear
    2015
  • fDate
    12-15 July 2015
  • Firstpage
    358
  • Lastpage
    362
  • Abstract
    The evaluation of cleft palate (CP) speech is a critical clinical treatment. The most typical characteristics of CP speech include hypernasality and consonant misarticulation. Currently, the evaluation of CP speech is carried out by experienced speech therapists. It strongly depends on their clinical experience and subjective judgment. This work aims to propose an automatic evaluation system of resonance and articulation disorders in CP speech. The CP speech database is collected by the Hospital of Stomatology, Sichuan University, which has the largest number of CP patients in China. The automatic hypernasality grading algorithm is proposed to classify four levels of hypernasality: normal, mild, moderate and severe. Besides, the algorithms of automatic consonant omission and replacement location are proposed to evaluate the speech intelligibility of CP speech.
  • Keywords
    medical disorders; patient treatment; speech intelligibility; speech processing; CP speech database; Hospital of Stomatology; Sichuan University; articulation disorders; automatic hypernasality grading algorithm; cleft palate speech; clinical treatment; consonant misarticulation; evaluation system; speech intelligibility; speech therapist; typical characteristics; Accuracy; Acoustics; Cavity resonators; Databases; Feature extraction; Speech; Speech processing; Cleft palate speech; articulation disorder; consonant misarticulation; hypernasality; resonance disorder;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/ChinaSIP.2015.7230424
  • Filename
    7230424