Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders

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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. ed. / Alexey Karpov; Rodmonga Potapova. Springer Nature, 2020. p. 291-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12335 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Lyakso, E , Frolova, O , Grigorev, A , Gorodnyi, V, Nikolaev, A & Kurazhova, A 2020, Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders. in A Karpov & R Potapova (eds), Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12335 LNAI, Springer Nature, pp. 291-303, 22nd International Conference on Speech and Computer, St. Petersburg, Russian Federation, 7/10/20. https://doi.org/10.1007/978-3-030-60276-5_29

APA

Lyakso, E., Frolova, O., Grigorev, A., Gorodnyi, V., Nikolaev, A., & Kurazhova, A. (2020). Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders. In A. Karpov, & R. Potapova (Eds.), Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings (pp. 291-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12335 LNAI). Springer Nature. https://doi.org/10.1007/978-3-030-60276-5_29

Vancouver

Lyakso E , Frolova O , Grigorev A , Gorodnyi V, Nikolaev A, Kurazhova A. Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders. In Karpov A, Potapova R, editors, Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. Springer Nature. 2020. p. 291-303. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-60276-5_29

Author

Lyakso, Elena ; Frolova, Olga ; Grigorev, Aleksey ; Gorodnyi, Viktor ; Nikolaev, Aleksandr ; Kurazhova, Anna. / Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders. Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings. editor / Alexey Karpov ; Rodmonga Potapova. Springer Nature, 2020. pp. 291-303 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{c8dfffe47321425da1fe13836522f2bf,

title = "Speech Features of 13–15 Year-Old Children with Autism Spectrum Disorders",

abstract = "The goal of the study is to determine the effect of the child{\textquoteright}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{\textquoteright}s speech; two series of perceptual experiments with determining the children{\textquoteright}s speech intelligibility and children{\textquoteright}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{\textquoteright}s age and severity of ASD on the speech features and the listeners{\textquoteright} 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.",

keywords = "Acoustic analysis, Autism spectrum disorders, Child age, Gender, Perceptual experiment, Severity of the disease",

author = "Elena Lyakso and Olga Frolova and Aleksey Grigorev and Viktor Gorodnyi and Aleksandr Nikolaev and Anna Kurazhova",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 22nd International Conference on Speech and Computer, SPECOM 2020 ; Conference date: 07-10-2020 Through 09-10-2020",

year = "2020",

month = oct,

doi = "10.1007/978-3-030-60276-5_29",

language = "English",

isbn = "9783030602758",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Nature",

pages = "291--303",

editor = "Alexey Karpov and Rodmonga Potapova",

booktitle = "Speech and Computer - 22nd International Conference, SPECOM 2020, Proceedings",

address = "Germany",

url = "http://specom.nw.ru/2020/program/SPECOM-ICR2020-Conference-Program-06102020.pdf",

}

RIS

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

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