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Descripción
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| Speech is controlled by axial neuromotor systems, highly sensible to certain neurodegenerative illnesses as Parkinson's Disease (PD). Patients suffering PD present important alterations in speech, which manifest in phonation, articulation, prosody and fluency. Usually phonation and articulation alterations are estimated using different statistical frameworks and methods. The present study introduces a new paradigm based on Information Theory fundamentals to use common statistical tools to differentiate and score PD speech on phonation and articulation estimates. A study describing t he performance of a methodology based on this common framework on a database including 16 PD patients, 16 age-paired healthy controls (HC) and 16 mid-age normative subjects (NS) is presented. The results point out to the clear separation between PD patients and HC subjects with respect to NS, but an unclear differentiation between PD and HC. The most important conclusion is that special effort is needed to establish differentiating features between PD, and organic laryngeal, from aging speech. | |
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Internacional
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Si |
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Nombre congreso
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IWINAC 2019 |
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Tipo de participación
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960 |
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Lugar del congreso
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Almería, España |
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Revisores
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Si |
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ISBN o ISSN
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0302-9743 |
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DOI
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10 .1007 /978-3-030-19651-6_33 |
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Fecha inicio congreso
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03/06/2019 |
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Fecha fin congreso
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07/06/2020 |
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Desde la página
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340 |
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Hasta la página
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351 |
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Título de las actas
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Proceedings of IWINAC 2019 (LNCS 11487) |