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Acoustic features of speech of typically developing children aged 5–16 years. / Grigorev, Alexey; Frolova, Olga; Lyakso, Elena.

Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. ред. / Lidia Pivovarova; Andrey Filchenkov; Jan Zizka; Dmitry Ustalov. Springer Nature, 2018. стр. 152-163 (Communications in Computer and Information Science; Том 930).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование

Harvard

Grigorev, A, Frolova, O & Lyakso, E 2018, Acoustic features of speech of typically developing children aged 5–16 years. в L Pivovarova, A Filchenkov, J Zizka & D Ustalov (ред.), Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. Communications in Computer and Information Science, Том. 930, Springer Nature, стр. 152-163, 7th International Conference Artificial Intelligence and Natural Language, AINL 2018, St. Petersburg, Российская Федерация, 17/10/18. https://doi.org/10.1007/978-3-030-01204-5_15

APA

Grigorev, A., Frolova, O., & Lyakso, E. (2018). Acoustic features of speech of typically developing children aged 5–16 years. в L. Pivovarova, A. Filchenkov, J. Zizka, & D. Ustalov (Ред.), Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings (стр. 152-163). (Communications in Computer and Information Science; Том 930). Springer Nature. https://doi.org/10.1007/978-3-030-01204-5_15

Vancouver

Grigorev A, Frolova O, Lyakso E. Acoustic features of speech of typically developing children aged 5–16 years. в Pivovarova L, Filchenkov A, Zizka J, Ustalov D, Редакторы, Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. Springer Nature. 2018. стр. 152-163. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-030-01204-5_15

Author

Grigorev, Alexey ; Frolova, Olga ; Lyakso, Elena. / Acoustic features of speech of typically developing children aged 5–16 years. Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings. Редактор / Lidia Pivovarova ; Andrey Filchenkov ; Jan Zizka ; Dmitry Ustalov. Springer Nature, 2018. стр. 152-163 (Communications in Computer and Information Science).

BibTeX

@inproceedings{10bfba33e8ab458c9cbd554e798abd07,
title = "Acoustic features of speech of typically developing children aged 5–16 years",
abstract = "The study is aimed at investigating the formation of acoustic features of speech in typically developing (TD) Russian-speaking children. The purpose of the study is to describe the dynamics of the temporal and spectral characteristics of the words of 5–16 years old children depending on their gender and age. The decrease of stressed and unstressed vowels duration from child{\textquoteright}s words to the age of 13 years is revealed. Pitch values of vowels from words significantly decrease to the age of 14 years in girls and to the age of 16 years in boys. Pitch values of vowels from girls{\textquoteright} words are higher vs. corresponding features from boys{\textquoteright} words. Differences in the pitch values and vowel articulation index in boys and girls in different ages are shown. The obtained data on the acoustic features of the speech of TD children can be used as a normative basis in artificial intelligence systems for teaching children, for creating alternative communication systems for children with atypical development, for automatic recognition of child speech.",
keywords = "Acoustic features of speech, Child speech, Pitch, Vowel articulation index",
author = "Alexey Grigorev and Olga Frolova and Elena Lyakso",
year = "2018",
month = jan,
day = "1",
doi = "10.1007/978-3-030-01204-5_15",
language = "English",
isbn = "9783030012038",
series = "Communications in Computer and Information Science",
publisher = "Springer Nature",
pages = "152--163",
editor = "Lidia Pivovarova and Andrey Filchenkov and Jan Zizka and Dmitry Ustalov",
booktitle = "Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings",
address = "Germany",
note = "7th International Conference Artificial Intelligence and Natural Language, AINL 2018 ; Conference date: 17-10-2018 Through 19-10-2018",

}

RIS

TY - GEN

T1 - Acoustic features of speech of typically developing children aged 5–16 years

AU - Grigorev, Alexey

AU - Frolova, Olga

AU - Lyakso, Elena

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The study is aimed at investigating the formation of acoustic features of speech in typically developing (TD) Russian-speaking children. The purpose of the study is to describe the dynamics of the temporal and spectral characteristics of the words of 5–16 years old children depending on their gender and age. The decrease of stressed and unstressed vowels duration from child’s words to the age of 13 years is revealed. Pitch values of vowels from words significantly decrease to the age of 14 years in girls and to the age of 16 years in boys. Pitch values of vowels from girls’ words are higher vs. corresponding features from boys’ words. Differences in the pitch values and vowel articulation index in boys and girls in different ages are shown. The obtained data on the acoustic features of the speech of TD children can be used as a normative basis in artificial intelligence systems for teaching children, for creating alternative communication systems for children with atypical development, for automatic recognition of child speech.

AB - The study is aimed at investigating the formation of acoustic features of speech in typically developing (TD) Russian-speaking children. The purpose of the study is to describe the dynamics of the temporal and spectral characteristics of the words of 5–16 years old children depending on their gender and age. The decrease of stressed and unstressed vowels duration from child’s words to the age of 13 years is revealed. Pitch values of vowels from words significantly decrease to the age of 14 years in girls and to the age of 16 years in boys. Pitch values of vowels from girls’ words are higher vs. corresponding features from boys’ words. Differences in the pitch values and vowel articulation index in boys and girls in different ages are shown. The obtained data on the acoustic features of the speech of TD children can be used as a normative basis in artificial intelligence systems for teaching children, for creating alternative communication systems for children with atypical development, for automatic recognition of child speech.

KW - Acoustic features of speech

KW - Child speech

KW - Pitch

KW - Vowel articulation index

UR - http://www.scopus.com/inward/record.url?scp=85054816442&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/acoustic-features-speech-typically-developing-children-aged-516-years

U2 - 10.1007/978-3-030-01204-5_15

DO - 10.1007/978-3-030-01204-5_15

M3 - Conference contribution

AN - SCOPUS:85054816442

SN - 9783030012038

T3 - Communications in Computer and Information Science

SP - 152

EP - 163

BT - Artificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings

A2 - Pivovarova, Lidia

A2 - Filchenkov, Andrey

A2 - Zizka, Jan

A2 - Ustalov, Dmitry

PB - Springer Nature

T2 - 7th International Conference Artificial Intelligence and Natural Language, AINL 2018

Y2 - 17 October 2018 through 19 October 2018

ER -

ID: 36521269