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Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson’s Disease

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Biomedical Applications Based on Natural and Artificial Computing (IWINAC 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10338))

Abstract

This study considers phonation and articulation measures to model voice disorders produced by three different pathologies: Laryngeal pathologies (LP), cleft lip and palate (CLP), and Parkinson’s disease (PD). Different speech tasks are considered including sustained vowel phonations, isolated words, and read texts. The obtained accuracies, in terms of the area under the ROC curve (AUC), range between 55.7 and 99.2 depending on the pathology. The results suggest that phonation features are appropriate to model LP; however, for the case of CLP and PD, it seems like the articulation measures provide more information about the problems in moving and controlling the articulators of the vocal tract. This work is a step towards the development of methodologies for the automatic discrimination among different voice disorders.

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Acknowledgments

This work is funded by CODI at Universidad de Antioquia, projects PRV16-2-01 and 2015-7683.

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Authors and Affiliations

  1. Engineering Department, Owens Illinois, Medellín, Colombia

    J. C. Jiménez-Monsalve

  2. Faculty of Engineering, Universidad de Antioquia, Medellín, Colombia

    J. C. Jiménez-Monsalve, J. C. Vásquez-Correa & J. R. Orozco-Arroyave

  3. Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen, Erlangen, Germany

    J. C. Vásquez-Correa & J. R. Orozco-Arroyave

  4. Neuromorphic Speech Processing Lab, Center for Biomedical Engineering, Universidad Politécnica de Madrid, Madrid, Spain

    P. Gomez-Vilda

Authors
  1. J. C. Jiménez-Monsalve
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  2. J. C. Vásquez-Correa
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  3. J. R. Orozco-Arroyave
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  4. P. Gomez-Vilda
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Corresponding author

Correspondence to P. Gomez-Vilda .

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Editors and Affiliations

  1. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    José Manuel Ferrández Vicente

  2. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    José Ramón Álvarez-Sánchez

  3. Departamento de Inteligencia Articial, Universidad Nacional de Educación a Distancia, Madrid, Spain

    Félix de la Paz López

  4. Departamento de Electrónica, Tecnología de Computadoras y Proyectos, Universidad Politécnica de Cartagena, Cartagena, Spain

    Javier Toledo Moreo

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

    Hojjat Adeli

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Jiménez-Monsalve, J.C., Vásquez-Correa, J.C., Orozco-Arroyave, J.R., Gomez-Vilda, P. (2017). Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson’s Disease. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo Moreo, J., Adeli, H. (eds) Biomedical Applications Based on Natural and Artificial Computing. IWINAC 2017. Lecture Notes in Computer Science(), vol 10338. Springer, Cham. https://doi.org/10.1007/978-3-319-59773-7_43

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  • DOI: https://doi.org/10.1007/978-3-319-59773-7_43

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59772-0

  • Online ISBN: 978-3-319-59773-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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