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Descripción
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| tSpeech is a vehicular tool to detect neurological degeneration using certain accepted biomarkers derivedfrom sustained vowels, diadochokinetic exercises or running speech. Classically the Vowel Space Area(VSA) and the Formant Centralization Ratio (FCR) have been proposed to describe dysarthria in Parkin-son?s Disease (PD). These features are based in global estimations of the positions of the first two formantsin the representation of a vowel triangle. The aim of the paper is to give a description of speech articula-tion dynamics as a probability density function of the kinematic features derived from the evolution offormants in the time domain. The statistical distribution of the dynamic behavior of articulation featurescan be used to estimate differences between speech features from subjects with Parkinson?s dysarthriarelative to normative subjects. Utterances of vowels [a:, i:, u:] from a subset of 16 subjects with PD (8males and 8 females), confronted to a subset of 16 normative subjects (8 males and 8 females) haveshown that the statistical distributions of dynamic articulation features can be differentiated using infor-mation theory based estimations such as Kullback-Leibler and Jensen-Shannon Divergence (JSD). Theseestimations allow establishing relevant statistical differences between PD and normative subjects bothfor males and females, improving the differentiation capability of VSA and FCR. | |
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Internacional
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JCR del ISI
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Título de la revista
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Biomedical Signal Processing And Control |
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ISSN
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1746-8094 |
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Factor de impacto JCR
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3,137 |
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Información de impacto
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Volumen
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DOI
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10.1016/j.bspc.2019.04.029 |
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Número de revista
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Desde la página
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312 |
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Hasta la página
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320 |
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Mes
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SIN MES |
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Ranking
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