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A new method for collection and annotation of speech data of atypically developing children. / Lyakso, Elena; Frolova, Olga; Karpov, Alexey.

2018 International Conference on Sensor Networks and Signal Processing (SNSP): Proceedings. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2019. p. 175-180 86158918.

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

Harvard

Lyakso, E, Frolova, O & Karpov, A 2019, A new method for collection and annotation of speech data of atypically developing children. in 2018 International Conference on Sensor Networks and Signal Processing (SNSP): Proceedings. vol. 1, 86158918, Institute of Electrical and Electronics Engineers Inc., pp. 175-180, 1st International Conference on Sensor Networks and Signal Processing, SNSP 2018, Xi'an, China, 28/10/18. https://doi.org/10.1109/SNSP.2018.00040

APA

Lyakso, E., Frolova, O., & Karpov, A. (2019). A new method for collection and annotation of speech data of atypically developing children. In 2018 International Conference on Sensor Networks and Signal Processing (SNSP): Proceedings (Vol. 1, pp. 175-180). [86158918] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SNSP.2018.00040

Vancouver

Lyakso E, Frolova O, Karpov A. A new method for collection and annotation of speech data of atypically developing children. In 2018 International Conference on Sensor Networks and Signal Processing (SNSP): Proceedings. Vol. 1. Institute of Electrical and Electronics Engineers Inc. 2019. p. 175-180. 86158918 https://doi.org/10.1109/SNSP.2018.00040

Author

Lyakso, Elena ; Frolova, Olga ; Karpov, Alexey. / A new method for collection and annotation of speech data of atypically developing children. 2018 International Conference on Sensor Networks and Signal Processing (SNSP): Proceedings. Vol. 1 Institute of Electrical and Electronics Engineers Inc., 2019. pp. 175-180

BibTeX

@inproceedings{1564c7688734477e972732d3d16f44db,
title = "A new method for collection and annotation of speech data of atypically developing children",
abstract = "The new database “AD-Child.Ru” includes 830 GB audio and video records of 153 children aged 4-16 years and 20 adults with atypical development. The database contains emotional speech and speech samples of children with five different types of psychiatric or neurological diagnosis: autism spectrum disorders, Down syndrome, mixed specific developmental disorders, mental retardation, cerebral palsy. Speech materials are collected in dialogue with the researcher, repetition of the words, play with the set of toys, picture description, retelling of the story, and book reading. Speech files are stored in Windows PCM format, 44100 Hz, 16 bits per sample. This database is designed to investigate the neurological and emotional state in the features of voice and speech of atypically developing children.",
keywords = "Acoustic features, Atypically developing children, speech database, atypically developing children, VOICE, acoustic features, EMOTION, CLASSIFICATION, AGE",
author = "Elena Lyakso and Olga Frolova and Alexey Karpov",
year = "2019",
month = jan,
day = "16",
doi = "10.1109/SNSP.2018.00040",
language = "English",
volume = "1",
pages = "175--180",
booktitle = "2018 International Conference on Sensor Networks and Signal Processing (SNSP)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",
note = "1st International Conference on Sensor Networks and Signal Processing, SNSP 2018 ; Conference date: 28-10-2018 Through 31-10-2018",

}

RIS

TY - GEN

T1 - A new method for collection and annotation of speech data of atypically developing children

AU - Lyakso, Elena

AU - Frolova, Olga

AU - Karpov, Alexey

PY - 2019/1/16

Y1 - 2019/1/16

N2 - The new database “AD-Child.Ru” includes 830 GB audio and video records of 153 children aged 4-16 years and 20 adults with atypical development. The database contains emotional speech and speech samples of children with five different types of psychiatric or neurological diagnosis: autism spectrum disorders, Down syndrome, mixed specific developmental disorders, mental retardation, cerebral palsy. Speech materials are collected in dialogue with the researcher, repetition of the words, play with the set of toys, picture description, retelling of the story, and book reading. Speech files are stored in Windows PCM format, 44100 Hz, 16 bits per sample. This database is designed to investigate the neurological and emotional state in the features of voice and speech of atypically developing children.

AB - The new database “AD-Child.Ru” includes 830 GB audio and video records of 153 children aged 4-16 years and 20 adults with atypical development. The database contains emotional speech and speech samples of children with five different types of psychiatric or neurological diagnosis: autism spectrum disorders, Down syndrome, mixed specific developmental disorders, mental retardation, cerebral palsy. Speech materials are collected in dialogue with the researcher, repetition of the words, play with the set of toys, picture description, retelling of the story, and book reading. Speech files are stored in Windows PCM format, 44100 Hz, 16 bits per sample. This database is designed to investigate the neurological and emotional state in the features of voice and speech of atypically developing children.

KW - Acoustic features

KW - Atypically developing children

KW - speech database

KW - atypically developing children

KW - VOICE

KW - acoustic features

KW - EMOTION

KW - CLASSIFICATION

KW - AGE

UR - http://www.scopus.com/inward/record.url?scp=85062218892&partnerID=8YFLogxK

UR - https://www.computer.org/csdl/proceedings-article/snsp/2018/741300a175/17D45XtvpdM

U2 - 10.1109/SNSP.2018.00040

DO - 10.1109/SNSP.2018.00040

M3 - Conference contribution

AN - SCOPUS:85062218892

VL - 1

SP - 175

EP - 180

BT - 2018 International Conference on Sensor Networks and Signal Processing (SNSP)

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1st International Conference on Sensor Networks and Signal Processing, SNSP 2018

Y2 - 28 October 2018 through 31 October 2018

ER -

ID: 39456957