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Automatic Assessment of Dysarthric Speech Intelligibility Based on Selected Phonetic Quality Features

  • Myung Jong Kim
  • Hoirin Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7383)

Abstract

This paper addresses the problem of assessing the speech intelligibility of patients with dysarthria, which is a motor speech disorder. Dysarthric speech produces spectral distortion caused by poor articulation. To characterize the distorted spectral information, several features related to phonetic quality are extracted. Then, we find the best feature set which not only produces a small prediction error but also keeps their mutual dependency low. Finally, the selected features are linearly combined using a multiple regression model. Evaluation of the proposed method on a database of 94 patients with dysarthria proves the effectiveness in predicting subjectively rated scores.

Keywords

Dysarthria phonetic quality speech intelligibility assessment 

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References

  1. 1.
    Kent, R.D., Weismer, G., Kent, J.F., Rosenbek, J.C.: Toward Phonetic Intelligibility Testing in Dysarthria. J. Speech Hearing Disorders 54(4), 482–499 (1989)Google Scholar
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    Falk, T.H., Hummel, R., Chan, W.–Y.: Quantifying Perturbations in Temporal Dynamics for Automated Assessment of Spastic Dysarthric Speech Intelligibility. In: Proc. IEEE ICASSP, pp. 4480–4483 (May 2011)Google Scholar
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    Middag, C., Martens, J.-P., Nuffelen, G.V., De Bodt, M.: Automated Intelligibility Assessment of Pathological Speech Using Phonological Features. EURASIP J. Advances Signal Process. 2009, 9 pages (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Myung Jong Kim
    • 1
  • Hoirin Kim
    • 1
  1. 1.Department of Electrical EngineeringKorea Advanced Institute of Science and TechnologyKorea

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