Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training

Sarah Si Chen, Bruce Xiao Wang, Yitian Hong, Fang Zhou, Angel Chan, Po Yi Tang, Bin Li, Wen Chunyi, James Cheung, Yan Liu, Zhuoming Chen

Research output: Journal article publicationConference articleAcademic researchpeer-review

Abstract

Children with Autism exhibit distinct speech prosody, perceived as monotone and they are reported to show deficits in focus marking. The current study designed a robot-assisted training with controlled social interactions aiming to enhance the prosody of children with Autism speaking a tonal language, Cantonese, specifically on focus marking. 20 autistic and 23 typically-developing (TD) children participated in this study. Only the autistic group received training. Stimuli were designed for training, pre- and post-training production. Acoustics of target words were extracted and analysed using linear mixed-effects models examining effects of training and clinical status. Children with Autism improved in signalling sentence prominence using duration but not f0 and intensity. Variability suggests that certain acoustic cues are more challenging. Comparing to TD children's focus marking patterns, autistic children's variability may also stem from their ongoing prosodic profile development.

Original languageEnglish
Pages (from-to)2480-2484
Number of pages5
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
DOIs
Publication statusPublished - Sept 2024
Event25th Interspeech Conferece 2024 - Kos Island, Greece
Duration: 1 Sept 20245 Sept 2024

Keywords

  • autism spectrum disorder
  • robot-assisted training
  • speech prosody

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modelling and Simulation

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