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AD-Child.Ru: Speech corpus for russian children with atypical development. / Lyakso, Elena; Frolova, Olga; Kaliev, Arman; Gorodnyi, Victor; Grigorev, Aleksey; Matveev, Yuri.

Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings: Proceedings. ред. / Albert Ali Salah; Albert Ali Salah; Alexey Karpov; Rodmonga Potapova. Springer Nature, 2019. стр. 299-308 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11658 LNAI).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференцииРецензирование

Harvard

Lyakso, E, Frolova, O, Kaliev, A, Gorodnyi, V, Grigorev, A & Matveev, Y 2019, AD-Child.Ru: Speech corpus for russian children with atypical development. в AA Salah, AA Salah, A Karpov & R Potapova (ред.), Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings: Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том. 11658 LNAI, Springer Nature, стр. 299-308, 21ST INTERNATIONAL CONFERENCE ON SPEECH AND COMPUTER , ISTANBUL, Турция, 20/08/19. https://doi.org/10.1007/978-3-030-26061-3_31

APA

Lyakso, E., Frolova, O., Kaliev, A., Gorodnyi, V., Grigorev, A., & Matveev, Y. (2019). AD-Child.Ru: Speech corpus for russian children with atypical development. в A. A. Salah, A. A. Salah, A. Karpov, & R. Potapova (Ред.), Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings: Proceedings (стр. 299-308). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 11658 LNAI). Springer Nature. https://doi.org/10.1007/978-3-030-26061-3_31

Vancouver

Lyakso E, Frolova O, Kaliev A, Gorodnyi V, Grigorev A, Matveev Y. AD-Child.Ru: Speech corpus for russian children with atypical development. в Salah AA, Salah AA, Karpov A, Potapova R, Редакторы, Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings: Proceedings. Springer Nature. 2019. стр. 299-308. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-26061-3_31

Author

Lyakso, Elena ; Frolova, Olga ; Kaliev, Arman ; Gorodnyi, Victor ; Grigorev, Aleksey ; Matveev, Yuri. / AD-Child.Ru: Speech corpus for russian children with atypical development. Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings: Proceedings. Редактор / Albert Ali Salah ; Albert Ali Salah ; Alexey Karpov ; Rodmonga Potapova. Springer Nature, 2019. стр. 299-308 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{106553894c6d429b99a392de43df2821,
title = "AD-Child.Ru: Speech corpus for russian children with atypical development",
abstract = "The paper presents the speech database “AD-Child.Ru” that contains speech materials of 4-16 year old children with atypical development. The choice of informants with certain diagnoses is due to speech disorders or lagging speech development as one of the leading symptoms of each of these diseases. At the present time the database includes 1.1 Tb of audio and video records collected from children (n = 278) and adults aged 20-46 years (n = 20) with mental retardation (with a mental age of 12 years). Audio recordings were carried out in a model situation and spontaneous interaction with adults. This database is designed to study the speech development in dysontogenesis. The paper reports two experiments on the speech material included in the database “AD-Child.Ru”: (i) recognition by listeners of the words meaning of preschool typically developing (TD) children, children with autism spectrum disorders (ASD), and Down syndrome (DS); (ii) determination by the listeners of the child state “typical development – disorder”. Our database can be the basis for scientific projects on the Russian language mastering in case of atypical development and can be used in the studies of automated child speech recognition system.",
keywords = "Speech Database, Atypically Developing Children, Perceptual analysis, Spectrographic Analysis, Speech Database, Atypically Developing Children, Perceptual analysis, Spectrographic Analysis, Atypically developing children, Speech database, Perceptual analysis, Spectrographic analysis",
author = "Elena Lyakso and Olga Frolova and Arman Kaliev and Victor Gorodnyi and Aleksey Grigorev and Yuri Matveev",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; 21ST INTERNATIONAL CONFERENCE ON SPEECH AND COMPUTER , Specom 2019 ; Conference date: 20-08-2019 Through 25-08-2019",
year = "2019",
month = aug,
day = "15",
doi = "10.1007/978-3-030-26061-3_31",
language = "English",
isbn = "9783030260606",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "299--308",
editor = "Salah, {Albert Ali} and Salah, {Albert Ali} and Alexey Karpov and Rodmonga Potapova",
booktitle = "Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings",
address = "Germany",
url = "http://specom.nw.ru/",

}

RIS

TY - GEN

T1 - AD-Child.Ru: Speech corpus for russian children with atypical development

AU - Lyakso, Elena

AU - Frolova, Olga

AU - Kaliev, Arman

AU - Gorodnyi, Victor

AU - Grigorev, Aleksey

AU - Matveev, Yuri

N1 - Conference code: 21

PY - 2019/8/15

Y1 - 2019/8/15

N2 - The paper presents the speech database “AD-Child.Ru” that contains speech materials of 4-16 year old children with atypical development. The choice of informants with certain diagnoses is due to speech disorders or lagging speech development as one of the leading symptoms of each of these diseases. At the present time the database includes 1.1 Tb of audio and video records collected from children (n = 278) and adults aged 20-46 years (n = 20) with mental retardation (with a mental age of 12 years). Audio recordings were carried out in a model situation and spontaneous interaction with adults. This database is designed to study the speech development in dysontogenesis. The paper reports two experiments on the speech material included in the database “AD-Child.Ru”: (i) recognition by listeners of the words meaning of preschool typically developing (TD) children, children with autism spectrum disorders (ASD), and Down syndrome (DS); (ii) determination by the listeners of the child state “typical development – disorder”. Our database can be the basis for scientific projects on the Russian language mastering in case of atypical development and can be used in the studies of automated child speech recognition system.

AB - The paper presents the speech database “AD-Child.Ru” that contains speech materials of 4-16 year old children with atypical development. The choice of informants with certain diagnoses is due to speech disorders or lagging speech development as one of the leading symptoms of each of these diseases. At the present time the database includes 1.1 Tb of audio and video records collected from children (n = 278) and adults aged 20-46 years (n = 20) with mental retardation (with a mental age of 12 years). Audio recordings were carried out in a model situation and spontaneous interaction with adults. This database is designed to study the speech development in dysontogenesis. The paper reports two experiments on the speech material included in the database “AD-Child.Ru”: (i) recognition by listeners of the words meaning of preschool typically developing (TD) children, children with autism spectrum disorders (ASD), and Down syndrome (DS); (ii) determination by the listeners of the child state “typical development – disorder”. Our database can be the basis for scientific projects on the Russian language mastering in case of atypical development and can be used in the studies of automated child speech recognition system.

KW - Speech Database, Atypically Developing Children, Perceptual analysis, Spectrographic Analysis

KW - Speech Database, Atypically Developing Children, Perceptual analysis, Spectrographic Analysis

KW - Atypically developing children

KW - Speech database

KW - Perceptual analysis

KW - Spectrographic analysis

UR - https://link.springer.com/chapter/10.1007/978-3-030-26061-3_31

UR - http://www.scopus.com/inward/record.url?scp=85071488253&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-26061-3_31

DO - 10.1007/978-3-030-26061-3_31

M3 - Conference contribution

SN - 9783030260606

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 299

EP - 308

BT - Speech and Computer - 21st International Conference, SPECOM 2019, Proceedings

A2 - Salah, Albert Ali

A2 - Salah, Albert Ali

A2 - Karpov, Alexey

A2 - Potapova, Rodmonga

PB - Springer Nature

T2 - 21ST INTERNATIONAL CONFERENCE ON SPEECH AND COMPUTER

Y2 - 20 August 2019 through 25 August 2019

ER -

ID: 46146939