Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders. / Lyakso, Elena; Frolova, Olga; Grigorev, Aleksey; Gorodnyi, Viktor; Nikolaev, Aleksandr; Kurazhova, Anna.
Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. ред. / Alexey Karpov; Rodmonga Potapova. Springer Nature, 2020. стр. 291-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 12335 LNAI).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders
AU - Lyakso, Elena
AU - Frolova, Olga
AU - Grigorev, Aleksey
AU - Gorodnyi, Viktor
AU - Nikolaev, Aleksandr
AU - Kurazhova, Anna
N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/10
Y1 - 2020/10
N2 - 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.
AB - 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.
KW - Acoustic analysis
KW - Autism spectrum disorders
KW - Child age
KW - Gender
KW - Perceptual experiment
KW - Severity of the disease
UR - http://www.scopus.com/inward/record.url?scp=85092903588&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/2ed7dc38-19b0-3bf6-9b8a-c532109191eb/
U2 - 10.1007/978-3-030-60276-5_29
DO - 10.1007/978-3-030-60276-5_29
M3 - Conference contribution
AN - SCOPUS:85092903588
SN - 9783030602758
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 291
EP - 303
BT - Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings
A2 - Karpov, Alexey
A2 - Potapova, Rodmonga
PB - Springer Nature
T2 - 22nd International Conference on Speech and Computer
Y2 - 7 October 2020 through 9 October 2020
ER -
ID: 70368835