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.
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References
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)
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)
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)
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© 2012 Springer-Verlag Berlin Heidelberg
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Kim, M.J., Kim, H. (2012). Automatic Assessment of Dysarthric Speech Intelligibility Based on Selected Phonetic Quality Features. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_66
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DOI: https://doi.org/10.1007/978-3-642-31534-3_66
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31533-6
Online ISBN: 978-3-642-31534-3
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