Abstract
| Original language | English |
|---|---|
| Title of host publication | 21st International Conference on Speech and Computer, SPECOM 2019 |
| Subtitle of host publication | Proceedings |
| Editors | A.A. Salah, A.A. Salah, A. Karpov, R. Potapova |
| Publisher | Springer |
| Pages | 103-112 |
| ISBN (Print) | 9783030260606 |
| Publication status | Published - 15 Aug 2019 |
| Event | 21st International Conference, SPECOM 2019 - Istanbul Duration: 20 Aug 2019 → 25 Aug 2019 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Publisher | Springer |
| Volume | 11658 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 21st International Conference, SPECOM 2019 |
|---|---|
| Country | Turkey |
| City | Istanbul |
| Period | 20/08/19 → 25/08/19 |
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Developmental Disorders Manifestation in the Characteristics of the Child’s Voice and Speech: Perceptual and Acoustic Study. / Frolova, Oiga; Gorodnyi, Viktor; Nikolaev, Aleksandr; Grigorev, Aleksey; Grechanyi, Severin; Lyakso, Elena.
21st International Conference on Speech and Computer, SPECOM 2019: Proceedings. ed. / A.A. Salah; A.A. Salah; A. Karpov; R. Potapova. Springer, 2019. p. 103-112 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11658).Research output
TY - GEN
T1 - Developmental Disorders Manifestation in the Characteristics of the Child’s Voice and Speech: Perceptual and Acoustic Study
AU - Frolova, Oiga
AU - Gorodnyi, Viktor
AU - Nikolaev, Aleksandr
AU - Grigorev, Aleksey
AU - Grechanyi, Severin
AU - Lyakso, Elena
PY - 2019/8/15
Y1 - 2019/8/15
N2 - The paper presents the data of the perceptual experiment on recognition of the child’s developmental disorders via speech. Participants of the study were 30 children aged 11-12 years: with autism spectrum disorders (ASD, n=10), with Down syndrome (DS, n=10), typically developing (TD, n=10, control), and 50 Russian-speaking adults as listeners. The listeners were divided in 4 groups according to their professional experience: pediatric students, psychiatric students, psychiatrists, and researchers in the field of psychophysiology and child’s speech development. Every group carried out the perception task separately. The speech material for the perceptual experiment was phrases and words from spontaneous speech. The results of the perceptual experiment showed that listeners could correctly recognize the child’s state – disorders or typical development. Pediatric students classified the state of TD children better than the state of children with ASD and DS. Psychiatric students and psychia-trists recognized the state of children with ASD and DS better than pediatric students did. Acoustic features of speech samples correctly classified by listeners as uttered by children with disorders and TD children were described. High pitch values are specific for speech samples of children with ASD; long duration of stressed vowels is a feature of children with DS. The obtained data could be useful for specialists working with atypically developing children and for future studies of machine classification of the child’s state – TD, ASD, and DS.
AB - The paper presents the data of the perceptual experiment on recognition of the child’s developmental disorders via speech. Participants of the study were 30 children aged 11-12 years: with autism spectrum disorders (ASD, n=10), with Down syndrome (DS, n=10), typically developing (TD, n=10, control), and 50 Russian-speaking adults as listeners. The listeners were divided in 4 groups according to their professional experience: pediatric students, psychiatric students, psychiatrists, and researchers in the field of psychophysiology and child’s speech development. Every group carried out the perception task separately. The speech material for the perceptual experiment was phrases and words from spontaneous speech. The results of the perceptual experiment showed that listeners could correctly recognize the child’s state – disorders or typical development. Pediatric students classified the state of TD children better than the state of children with ASD and DS. Psychiatric students and psychia-trists recognized the state of children with ASD and DS better than pediatric students did. Acoustic features of speech samples correctly classified by listeners as uttered by children with disorders and TD children were described. High pitch values are specific for speech samples of children with ASD; long duration of stressed vowels is a feature of children with DS. The obtained data could be useful for specialists working with atypically developing children and for future studies of machine classification of the child’s state – TD, ASD, and DS.
KW - Typically Developing Children, Autism Spectrum Disorders, Down Syndrome, Perceptual Experiment, Acoustic Analysis.
UR - https://link.springer.com/chapter/10.1007/978-3-030-26061-3_11
M3 - Conference contribution
SN - 9783030260606
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 103
EP - 112
BT - 21st International Conference on Speech and Computer, SPECOM 2019
A2 - Salah, A.A.
A2 - Salah, A.A.
A2 - Karpov, A.
A2 - Potapova, R.
PB - Springer
ER -