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International Conference on Innovation in Medicine and Healthcare

InMed 2016: Innovation in Medicine and Healthcare 2016 pp 25–35Cite as

Application of the Lognormal Model to the Vocal Tract Movement to Detect Neurological Diseases in Voice

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 60))

Abstract

In this paper a novel method to evaluate the quality of the voice signal is presented. Our novel hypothesis is that the first and second formants allow the estimation of the jaw-tongue dynamics. Once the velocity is computed, it is approximated by the Sigma-Lognormal model whose parameters enable to distinguish between normal and pathological voices. Three types of pathologies are used to test the method: Laryngeal Diseases, Parkinson and Amyotrophic Lateral Sclerosis. Preliminary results show that the novel features proposed are able to distinguish between parameters of normal and pathological voice. Moreover, it is also possible to discriminate between the three types of pathologies studied in this work.

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Acknowledgments

This study was funded by the Spanish government’s MCINN TEC2012-38630-C04 research project, the fellowship program of Universidad de Las Palmas de Gran Canaria and the NSERC-Canada Grant RGPIN-2015-06409 to R. Plamondon.

Author information

Authors and Affiliations

  1. Instituto Universitario para el Desarrollo Tecnológico y la Innovación en Comunicaciones, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain

    Cristina Carmona-Duarte, Miguel A. Ferrer & Jesús B. Alonso

  2. Département de Génie Électrique, Laboratoire Scribens, École Polytechnique de Montréal, Montréal, Canada

    Réjean Plamondon

  3. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660, Boadilla del Monte, Madrid, Spain

    Pedro Gómez-Vilda

  4. Translational Clinical Physiology Unit, Instituto de Medicina Molecular, Universidade de Lisboa, Lisbon, Portugal

    Ana Rita M. Londral

Authors
  1. Cristina Carmona-Duarte
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  2. Réjean Plamondon
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  3. Pedro Gómez-Vilda
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  4. Miguel A. Ferrer
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  5. Jesús B. Alonso
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  6. Ana Rita M. Londral
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Corresponding author

Correspondence to Cristina Carmona-Duarte .

Editor information

Editors and Affiliations

  1. College of Info Science & Eg, Ritsumeikan University College of Info Science & Eg, Kusatsu, Shiga, Japan

    Yen-Wei Chen

  2. Dept of Media Technology, Ritsumeikan University Dept of Media Technology, Kusatsu, Shiga, Japan

    Satoshi Tanaka

  3. KES International , Shoreham-by-sea, United Kingdom

    Robert J. Howlett

  4. University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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© 2016 Springer International Publishing Switzerland

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Carmona-Duarte, C., Plamondon, R., Gómez-Vilda, P., Ferrer, M.A., Alonso, J.B., Londral, A.R.M. (2016). Application of the Lognormal Model to the Vocal Tract Movement to Detect Neurological Diseases in Voice. In: Chen, YW., Tanaka, S., Howlett, R., Jain, L. (eds) Innovation in Medicine and Healthcare 2016. InMed 2016. Smart Innovation, Systems and Technologies, vol 60. Springer, Cham. https://doi.org/10.1007/978-3-319-39687-3_3

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  • DOI: https://doi.org/10.1007/978-3-319-39687-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39686-6

  • Online ISBN: 978-3-319-39687-3

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