How Dysarthric Prosody Impacts Naïve Listeners’ Recognition

Vass Verkhodanova*, Sanne Timmermans, Matt Coler, Roel Jonkers, Bauke de Jong, Wander Lowie

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

2 Citations (Scopus)
169 Downloads (Pure)

Abstract

The class of speech disorders known as dysarthria arise from disturbances in muscular control over the speech mechanism caused by damage of the central or peripheral nervous system. Dysarthria is typically classified into one of six classes, each corresponding to a different neurological disorder with distinct prosodic cues [3]. The assumption in this classification is that dysarthric speech can be classified implicit on the basis of perception. In this study, we investigate how accurately naïve listeners can recognize stress and intonation in dysarthric speech, and if different neurological disorders impact the ability to convey meaning with these same two cues. To those ends, we collected speech data from Dutch speakers diagnosed with cerebellar lesions (ataxic dysarthria), Parkinson’s Disease (hypokinetic dysarthria), Multiple Sclerosis (mixed classes of dysarthria) and from a healthy control group. Thirteen naïve Dutch listeners participated in the perceptual experiment which targeted recognition of intended realization of four prosodic functions: lexical stress, sentence type, boundary marking and focus. We analyzed recognition accuracy for different groups and performed acoustic analyses to check for fundamental frequency trajectories. Results attest to different accuracy recognition results for different disease groups. The sentence type recognition task was the most sensitive of all tasks for differentiating different diseases both on perceptual and acoustic levels of analysis.

Original languageEnglish
Title of host publicationSpeech and Computer
Subtitle of host publication21st International Conference, SPECOM 2019, Proceedings
EditorsAlbert Ali Salah, Alexey Karpov, Rodmonga Potapova
PublisherSpringer Verlag
Pages510-519
Number of pages10
ISBN (Electronic)978-3-030-26061-3
ISBN (Print)978-3-030-26060-6
DOIs
Publication statusPublished - 1-Jan-2019
Event21st International Conference on Speech and Computer, SPECOM 2019 - Istanbul, Turkey
Duration: 20-Aug-201925-Aug-2019

Publication series

Name Lecture Notes in Computer Science (LNCS)
Volume11658
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference21st International Conference on Speech and Computer, SPECOM 2019
Country/TerritoryTurkey
CityIstanbul
Period20/08/201925/08/2019

Keywords

  • Dysarthria
  • Multiple sclerosis
  • Parkinson’s disease
  • Prosody
  • Speech perception
  • Speech recognition
  • Spinocerebellar ataxia

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