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Evaluating Instability on Phonation in Parkinson’s Disease and Aging Speech

Authors :
Jiri Mekyska
Daniel Palacios-Alonso
Agustín Álvarez Marquina
José Manuel Ferrández de Vicente
Andrés Gómez-Rodellar
Pedro Gómez-Vilda
Source :
From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509, IWINAC (2)
Publication Year :
2019
Publisher :
Springer International Publishing, 2019.

Abstract

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 the 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.

Details

ISBN :
978-3-030-19650-9
ISBNs :
9783030196509
Database :
OpenAIRE
Journal :
From Bioinspired Systems and Biomedical Applications to Machine Learning ISBN: 9783030196509, IWINAC (2)
Accession number :
edsair.doi...........f961647325e1779197814909f73c485f
Full Text :
https://doi.org/10.1007/978-3-030-19651-6_33