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

Research outputpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2018 International Conference on Sensor Networks and Signal Processing (SNSP)
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages175-180
Volume1
ISBN (Electronic)9781538674130
DOIs
Publication statusPublished - 16 Jan 2019
Event1st International Conference on Sensor Networks and Signal Processing, SNSP 2018 - Xi'an
Duration: 28 Oct 201831 Oct 2018

Conference

Conference1st International Conference on Sensor Networks and Signal Processing, SNSP 2018
CountryChina
CityXi'an
Period28/10/1831/10/18

Fingerprint

annotations
disorders
files
Pulse code modulation
format
repetition

Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Computer Networks and Communications

Cite this

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
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
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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.",
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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, Xi'an, 28/10/18. https://doi.org/10.1109/SNSP.2018.00040

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 outputpeer-review

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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