Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease

Daniel Kovac, Jiri Mekyska, Zoltan Galaz, Lubos Brabenec, Milena Kostalova, Steven Z. Rapcsak, Irena Rektorova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parkinson's disease (PD) is associated with several speech/voice disorders collectively referred to as hypokinetic dysarthria (HD). The main goal of this study is to identify acoustic features that support the diagnosis of PD while being independent of the language of a speaker. We recorded seven speech (e.g. monologue) and voice (e.g. sustained phonation) tasks in a cohort of 59 PD patients and 44 age-and gender-matched healthy controls (HC) speaking Czech or US English. A non-parametric test revealed that the best discrimination power has a measure quantifying the number of interword pauses per minute. In a consequent classification analysis, utilising logistic regression, we observed a drop in the classification accuracy from 72-73% to 67%, when moving from single-language modelling to the multilingual one. The results of this study suggest that especially the prosodic (pause-based) features could play a significant role in the automatic language-independent diagnosis of PD.

Original languageEnglish (US)
Title of host publication2021 44th International Conference on Telecommunications and Signal Processing, TSP 2021
EditorsNorbert Herencsar
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages273-277
Number of pages5
ISBN (Electronic)9781665429337
DOIs
StatePublished - Jul 26 2021
Event44th International Conference on Telecommunications and Signal Processing, TSP 2021 - Virtual, Brno, Czech Republic
Duration: Jul 26 2021Jul 28 2021

Publication series

Name2021 44th International Conference on Telecommunications and Signal Processing, TSP 2021

Conference

Conference44th International Conference on Telecommunications and Signal Processing, TSP 2021
Country/TerritoryCzech Republic
CityVirtual, Brno
Period7/26/217/28/21

Keywords

  • acoustic analysis
  • classification
  • hypokinetic dysarthria
  • Parkinson's disease

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint

Dive into the research topics of 'Multilingual Analysis of Speech and Voice Disorders in Patients with Parkinson's Disease'. Together they form a unique fingerprint.

Cite this