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Automatic detection of consonant omission in cleft palate speech

  • Ling He
  • Xiyue Wang
  • Jing Zhang
  • Qi Liu
  • Heng Yin
  • Margaret Lech
Article
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Abstract

Consonant omission is one of the most typical and common articulation disorders in cleft palate (CP) speech. The automatic evaluation of consonant omission provides an objective and aided diagnosis to speech-language pathologists and CP patients. This work proposes an automatic consonant omission method. The collection of pathologic speech data is far more difficult than that of normal speech. The speech samples applied in this work are collected from 80 CP patients, with annotation on the phonemic level by professional speech-language pathologists. The proposed method requires no pre-training or modeling, by taking advantages of priori knowledge of CP speech and Chinese phonetics. The classification between voiced initials and finals is a difficulty in Mandarin speech processing researches, this work proposes a time-domain waveform difference analysis method to address this difficulty. The proposed method achieves the accuracy of 88.9% for consonant omission detection in CP speech, and the sensitivity and specificity of the proposed method are 70.89% and 91.86% respectively.

Keywords

Cleft palate speech Consonant omission Articulation disorder Resonance disorder 

Notes

Acknowledgements

This work is supported by the National Natural Science Foundation of China (Grant No. 61503264).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Ling He
    • 1
  • Xiyue Wang
    • 1
  • Jing Zhang
    • 1
  • Qi Liu
    • 1
  • Heng Yin
    • 2
  • Margaret Lech
    • 3
  1. 1.College of Electrical Engineering and Information TechnologySichuan UniversityChengduChina
  2. 2.Hospital of StomatologySichuan UniversityChengduChina
  3. 3.School of Electrical and Computer EngineeringRoyal Melbourne Institute of Technology UniversityMelbourneAustralia

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