Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Reflection of the Emotional State in the Characteristics of Voice and Speech of Children with Down Syndrome. / Lyakso, Elena; Frolova, Olga; Gorodnyi, Viktor; Grigorev, Aleksey; Nikolaev, Aleksandr; Matveev, Yuri.
2019 10th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2019. ed. / Corneliu Burileanu; Horia-Nicolai Teodorescu. Institute of Electrical and Electronics Engineers Inc., 2019. 8906579 (2019 10th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Reflection of the Emotional State in the Characteristics of Voice and Speech of Children with Down Syndrome
AU - Lyakso, Elena
AU - Frolova, Olga
AU - Gorodnyi, Viktor
AU - Grigorev, Aleksey
AU - Nikolaev, Aleksandr
AU - Matveev, Yuri
PY - 2019
Y1 - 2019
N2 - The goal of our work is to study the reflection of the emotional state in the characteristics of voice and speech of children with Down syndrome (DS). Participants of the study were 20 children aged 8-12 years: 10 children with DS and 10 typically developing (TD) children. Three types of experimental methods of speech analysis were performed: perceptual (by listeners, n = 350), spectrographic, and linguistic. The results of perceptual experiment showed that the listeners better recognized the emotional state of children with DS than TD children, the state of discomfort in children with DS than the neutral and comfort state. Acoustic features reflecting emotional states are more expressed in speech of children with DS vs. speech of TD children. The state of discomfort in the speech of children with DS is described by a large number of acoustic features that differs significantly from the corresponding characteristics reflecting neutral and comfort states. We presented the first data on the emotional speech of children with DS on the material of the Russian language. These data may be in further used for creating human-computer interfaces for informants with atypical development.
AB - The goal of our work is to study the reflection of the emotional state in the characteristics of voice and speech of children with Down syndrome (DS). Participants of the study were 20 children aged 8-12 years: 10 children with DS and 10 typically developing (TD) children. Three types of experimental methods of speech analysis were performed: perceptual (by listeners, n = 350), spectrographic, and linguistic. The results of perceptual experiment showed that the listeners better recognized the emotional state of children with DS than TD children, the state of discomfort in children with DS than the neutral and comfort state. Acoustic features reflecting emotional states are more expressed in speech of children with DS vs. speech of TD children. The state of discomfort in the speech of children with DS is described by a large number of acoustic features that differs significantly from the corresponding characteristics reflecting neutral and comfort states. We presented the first data on the emotional speech of children with DS on the material of the Russian language. These data may be in further used for creating human-computer interfaces for informants with atypical development.
KW - Acoustic features
KW - Children
KW - Down syndrome
KW - Emotional state recognition
KW - Perception experiment
UR - http://www.scopus.com/inward/record.url?scp=85075944917&partnerID=8YFLogxK
U2 - 10.1109/SPED.2019.8906579
DO - 10.1109/SPED.2019.8906579
M3 - статья в сборнике материалов конференции
AN - SCOPUS:85075944917
T3 - 2019 10th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2019
BT - 2019 10th International Conference on Speech Technology and Human-Computer Dialogue, SpeD 2019
A2 - Burileanu, Corneliu
A2 - Teodorescu, Horia-Nicolai
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 October 2019 through 12 October 2019
ER -
ID: 53469500