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EURASIP Journal on Advances in Signal Processing
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Automatic Assessment of Pathological Voice Quality Using Higher-Order Statistics in the LPC Residual Domain

EURASIP Journal on Advances in Signal Processing volume 2009, Article number: 748207 (2010) Cite this article

Abstract

A preprocessing scheme based on linear prediction coefficient (LPC) residual is applied to higher-order statistics (HOSs) for automatic assessment of an overall pathological voice quality. The normalized skewness and kurtosis are estimated from the LPC residual and show statistically meaningful distributions to characterize the pathological voice quality. 83 voice samples of the sustained vowel /a/ phonation are used in this study and are independently assessed by a speech and language therapist (SALT) according to the grade of the severity of dysphonia of GRBAS scale. These are used to train and test classification and regression tree (CART). The best result is obtained using an optima l decision tree implemented by a combination of the normalized skewness and kurtosis, with an accuracy of 92.9%. It is concluded that the method can be used as an assessment tool, providing a valuable aid to the SALT during clinical evaluation of an overall pathological voice quality.

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Authors and Affiliations

  1. Division of Head and Neck Surgery, School of Medicine, University of California at Los Angeles, Los Angeles, CA, 90024, USA

    Ji Yeoun Lee

  2. Division of Multimedia Communications and Processing, School of Engineering, Korea Advanced Institute of Science and Technology, 335 Gwahangno, Yuseong-gu, Daejeon, 305-701, South Korea

    Ji Yeoun Lee & Minsoo Hahn

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  1. Ji Yeoun Lee
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  2. Minsoo Hahn
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Correspondence to Ji Yeoun Lee.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Lee, J.Y., Hahn, M. Automatic Assessment of Pathological Voice Quality Using Higher-Order Statistics in the LPC Residual Domain. EURASIP J. Adv. Signal Process. 2009, 748207 (2010). https://doi.org/10.1155/2009/748207

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  • DOI: https://doi.org/10.1155/2009/748207

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