Automatic Recognition of the Psychoneurological State of Children: Autism Spectrum Disorders, Down Syndrome, Typical Development

Yuri Matveev, Anton Matveev, Olga Frolova, Elena Lyakso

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we explore the problem of automatic recognition of psychoneurological states: Autism Spectrum Disorders, Down Syndrome, Typical Development of 7–10 years old children from their speech in the Russian language. We described the results of fully automatic recognition based on our proprietary speech dataset. Along with SVM, we used the ComParE features from Computational Paralinguistic Challenges. The results on our dataset showed high performance of automated recognition of psychoneurological states of 7–10 years old children from their speech. The results are theoretically and practically valuable, they will expand the knowledge about human voice uniqueness, possibilities of diagnostics of human psychoneurological states by voice and speech features, and creation of alternative communicative systems.

Original languageEnglish
Title of host publicationSpeech and Computer - 23rd International Conference, SPECOM 2021, Proceedings
EditorsAlexey Karpov, Rodmonga Potapova
PublisherSpringer Nature
Pages417-425
Number of pages9
Volume12997
ISBN (Print)9783030878016
DOIs
StatePublished - Oct 2021
Event23rd International Conference on Speech and Computer, SPECOM 2021 - Virtual, Online, Russian Federation
Duration: 27 Sep 202130 Sep 2021
Conference number: 23
http://specom.nw.ru/2021/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12997 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Speech and Computer, SPECOM 2021
Abbreviated titleSPECOM 2021
Country/TerritoryRussian Federation
CityVirtual, Online
Period27/09/2130/09/21
Internet address

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Keywords

  • Autism spectrum disorders
  • Automatic recognition
  • Down syndrome
  • Psychoneurological state

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