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Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises

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Applied Computer Sciences in Engineering (WEA 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 916))

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Abstract

This paper presents preliminary results for the analysis of intelligibility in the speech of Parkinson’s Disease (PD) patients. An automatic speech recognition system is used to compute the word error rate (WER), the Levenshtein distance, and the similitude based dynamic time warping. The corpus of the speech recognizer is formed with speech recordings of three Diadochokinetic speech tasks: /pa-ta-ka/, /pa-ka-ta/, and /pe-ta-ka/. The data consist of 50 PD patients and 50 Healthy Controls. According to the results, the recognition error is lower for the healthy speakers (WER = \(2.70\%\)) respect to the PD patients (WER = \(11.3\%\)).

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Notes

  1. 1.

    https://github.com/jcvasquezc/DisVoice.

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Acknowledgments

This work was financed by CODI from University of Antioquia by the grant Number PRV16-2-01 and 2015–7683. Also the authors thanks to the Training Network on Automatic Processing of PAthological Speech (TAPAS) funded by the Horizon 2020 programme of the European Commission. Tomás Arias-Vergara is under grants of Convocatoria Doctorado Nacional-785 financed by COLCIENCIAS.

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Authors and Affiliations

  1. Faculty of Engineering, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín, Colombia

    L. Felipe Parra-Gallego, Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Nicanor Garcia-Ospina & Juan Rafael Orozco-Arroyave

  2. Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany

    Tomás Arias-Vergara, Juan Camilo Vásquez-Correa, Juan Rafael Orozco-Arroyave & Elmar Nöth

Authors
  1. L. Felipe Parra-Gallego
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  2. Tomás Arias-Vergara
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  3. Juan Camilo Vásquez-Correa
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  4. Nicanor Garcia-Ospina
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  5. Juan Rafael Orozco-Arroyave
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  6. Elmar Nöth
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Corresponding author

Correspondence to L. Felipe Parra-Gallego .

Editor information

Editors and Affiliations

  1. Department of Industrial Engineering, Universidad Distrital Francisco José de Caldas, Bogotá, Colombia

    Juan Carlos Figueroa-García

  2. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Juan G. Villegas

  3. Department of Electronics and Telecomunications Engineering, University of Antioquia, Medellín, Colombia

    Juan Rafael Orozco-Arroyave

  4. Department of Industrial Engineering, University of Antioquia, Medellín, Colombia

    Pablo Andres Maya Duque

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Parra-Gallego, L.F., Arias-Vergara, T., Vásquez-Correa, J.C., Garcia-Ospina, N., Orozco-Arroyave, J.R., Nöth, E. (2018). Automatic Intelligibility Assessment of Parkinson’s Disease with Diadochokinetic Exercises. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_20

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  • DOI: https://doi.org/10.1007/978-3-030-00353-1_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00352-4

  • Online ISBN: 978-3-030-00353-1

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