Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
The goal of the study is to determine the effect of the child’s age and the severity of autistic disorders on the speech features of children with autism spectrum disorders (ASD) aged 13–15 years and the impact of these factors in recognition by adults of the information contained in the child speech. Participants of the study were 10 children with ASD and 107 adults – listeners. The design of the study included: spectrographic, phonetic, linguistic analyses of children’s speech; two series of perceptual experiments with determining the children’s speech intelligibility and children’s state – psychophysiological and emotional via speech. The data on the determining of the articulation clarity, normative intonation, recognition of the psychoneurological state and the emotional state of children via speech, and the acoustic features of the speech material are presented. The impact of child’s age and severity of ASD on the speech features and the listeners’ responses is shown. The obtained data indicate a complex trajectory of speech development in ASD informants. The future approach of this research will be automatic classification of ASD child state via speech.
Original language | English |
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Title of host publication | Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings |
Editors | Alexey Karpov, Rodmonga Potapova |
Publisher | Springer Nature |
Pages | 291-303 |
Number of pages | 13 |
ISBN (Print) | 9783030602758 |
DOIs | |
State | Published - Oct 2020 |
Event | 22nd International Conference on Speech and Computer - St. Petersburg, Russia => Online, St. Petersburg, Russian Federation Duration: 7 Oct 2020 → 9 Oct 2020 http://specom.nw.ru/2020/program/SPECOM-ICR2020-Conference-Program-06102020.pdf |
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 12335 LNAI |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference | 22nd International Conference on Speech and Computer |
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Abbreviated title | SPECOM 2020 |
Country/Territory | Russian Federation |
City | St. Petersburg |
Period | 7/10/20 → 9/10/20 |
Internet address |
ID: 70368835