How Dysarthric Prosody Impacts Naïve Listeners’ Recognition

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

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)
145 Downloads (Pure)


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.

Originele taal-2English
TitelSpeech and Computer
Subtitel21st International Conference, SPECOM 2019, Proceedings
RedacteurenAlbert Ali Salah, Alexey Karpov, Rodmonga Potapova
UitgeverijSpringer Verlag
Aantal pagina's10
ISBN van elektronische versie978-3-030-26061-3
ISBN van geprinte versie978-3-030-26060-6
StatusPublished - 1-jan.-2019
Evenement21st International Conference on Speech and Computer, SPECOM 2019 - Istanbul, Turkey
Duur: 20-aug.-201925-aug.-2019

Publicatie series

Naam Lecture Notes in Computer Science (LNCS)
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349


Conference21st International Conference on Speech and Computer, SPECOM 2019


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