Skip to main content
SpringerLink
Log in

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

  • Conference paper
  • First Online:
From Bioinspired Systems and Biomedical Applications to Machine Learning (IWINAC 2019)

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

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Brabenec, L., Mekyska, J., Galaz, Z., Rektorova, I.: Speech disorders in Parkinson’s disease: early diagnostics and effects of medication and brain stimulation. J. Neural Transm. 124(3), 303–334 (2017)

    Article  Google Scholar 

  2. Dorsey, E., et al.: Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology 68(5), 384–386 (2007)

    Article  Google Scholar 

  3. Endres, D.M., Schindelin, J.E.: A new metric for probability distributions. IEEE Trans. Inf. Theor. 49(7), 1858–1860 (2003)

    Article  MathSciNet  Google Scholar 

  4. Georgiou, T.T., Lindquist, A.: Kullback-Leibler approximation of spectral density functions. IEEE Trans. Inf. Theory 49(11), 2910–2917 (2003)

    Article  MathSciNet  Google Scholar 

  5. Gómez-Vilda, P., et al.: Glottal source biometrical signature for voice pathology detection. Speech Commun. 51(9), 759–781 (2009)

    Article  Google Scholar 

  6. Gómez-Vilda, P., Palacios-Alonso, D., Rodellar-Biarge, V., Álvarez-Marquina, A., Nieto-Lluis, V., Martínez-Olalla, R.: Parkinson’s disease monitoring by biomechanical instability of phonation. Neurocomputing 255, 3–16 (2017)

    Article  Google Scholar 

  7. Jankovic, J.: Parkinson’s disease: clinical features and diagnosis. J. Neurol., Neurosurg. Psychiatry 79(4), 368–376 (2008)

    Article  Google Scholar 

  8. Kreiman, J., et al.: Variability in the relationships among voice quality, harmonic amplitudes, open quotient, and glottal area waveform shape in sustained phonation. J. Acoust. Soc. Am. 132(4), 2625–2632 (2012)

    Article  Google Scholar 

  9. Mekyska, J., et al.: Robust and complex approach of pathological speech signal analysis. Neurocomputing 167, 94–111 (2015)

    Article  Google Scholar 

  10. Proakis, J., Deller, J., Hansen, J.: Discrete-time Processing of Speech Signals. Macrnillan Pub. Co., New York (1993)

    Google Scholar 

  11. Ricciardi, L., et al.: Speech and gait in Parkinson’s disease: when rhythm matters. Park. Relat. Disord. 32, 42–47 (2016)

    Article  Google Scholar 

  12. Rothenberg, M.: A new inverse-filtering technique for deriving the glottal air flow waveform during voicing. J. Acoust. Soc. Am. 53(6), 1632–1645 (1973)

    Article  Google Scholar 

  13. Salicrú, M., Morales, D., Menéndez, M., Pardo, L.: On the applications of divergence type measures in testing statistical hypotheses. J. Multivar. Anal. 51(2), 372–391 (1994)

    Article  MathSciNet  Google Scholar 

  14. Webb, A.R.: Statistical Pattern Recognition. Wiley, Hoboken (2003)

    MATH  Google Scholar 

Download references

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).

Author information

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Daniel Palacios-Alonso
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. José Manuel Ferrández Vicente
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. J. Mekyska
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Agustín Álvarez Marquina
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Pedro Gómez-Vilda
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19650-9

  • Online ISBN: 978-3-030-19651-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation