How Dysarthric Prosody Impacts Naïve Listeners’ Recognition

Verkhodanova, V., Timmermans, S., Coler, M., Jonkers, R., de Jong, B. & Lowie, W., 1-Jan-2019, Speech and Computer : 21st International Conference, SPECOM 2019, Proceedings. Salah, A. A., Karpov, A. & Potapova, R. (eds.). Springer Verlag, p. 510-519 10 p. ( Lecture Notes in Computer Science (LNCS); vol. 11658).

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  • How Dysarthric Prosody Impacts Naïve Listeners’ Recognition

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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
Number of pages10
ISBN (Electronic)978-3-030-26061-3
ISBN (Print)978-3-030-26060-6
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)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference21st International Conference on Speech and Computer, SPECOM 2019


21st International Conference on Speech and Computer, SPECOM 2019


Istanbul, Turkey

Event: Conference


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

ID: 98461673