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

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From Bioinspired Systems and Biomedical Applications to Machine Learning (IWINAC 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11487))

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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.

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Acknowledgments

This work is being funded by TEC2016-77791-C4-4-R (MINECO, Spain) and CENIE_TECA-PARK_55_02 INTERREG V-A Spain - Portugal (POCTEP), 16-30805A, LOl401, and SIX Research Center (Czech Republic).

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Authors and Affiliations

  1. Neuromorphic Speech Processing Lab, Center for Biomedical Technology, Universidad Politécnica de Madrid, Campus de Montegancedo, 28223, Pozuelo de Alarcón, Madrid, Spain

    Andrés Gómez-Rodellar, Daniel Palacios-Alonso, Agustín Álvarez Marquina & Pedro Gómez-Vilda

  2. Escuela Técnica Superior de Ingeniería Informática, Universidad Rey Juan Carlos, Campus de Móstoles, Tulipán, s/n, 28933, Móstoles, Madrid, Spain

    Daniel Palacios-Alonso & Agustín Álvarez Marquina

  3. Universidad Politécnica de Cartagena, Campus Universitario Muralla del Mar Pza. Hospital 1, 30202, Cartagena, Spain

    José Manuel Ferrández Vicente & Agustín Álvarez Marquina

  4. Department of Telecommunications, Brno University of Technology, Technicka 10, 61600, Brno, Czech Republic

    J. Mekyska & Agustín Álvarez Marquina

Authors
  1. Andrés Gómez-Rodellar
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  2. Daniel Palacios-Alonso
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  3. José Manuel Ferrández Vicente
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  4. J. Mekyska
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  5. Agustín Álvarez Marquina
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  6. Pedro Gómez-Vilda
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Corresponding author

Correspondence to Pedro Gómez-Vilda .

Editor information

Editors and Affiliations

  1. Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Universidad Nacional de Educación a Distancia, Madrid, Madrid, Spain

    Félix de la Paz López

  4. Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

  5. The Ohio State University, Columbus, OH, USA

    Hojjat Adeli

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Gómez-Rodellar, A., Palacios-Alonso, D., Ferrández Vicente, J.M., Mekyska, J., Álvarez Marquina, A., Gómez-Vilda, P. (2019). Evaluating Instability on Phonation in Parkinson’s Disease and Aging Speech. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science(), vol 11487. Springer, Cham. https://doi.org/10.1007/978-3-030-19651-6_33

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  • DOI: https://doi.org/10.1007/978-3-030-19651-6_33

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19650-9

  • Online ISBN: 978-3-030-19651-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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