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.

Original languageEnglish
Title of host publicationArtificial Intelligence and Natural Language - 7th International Conference, AINL 2018, Proceedings
EditorsLidia Pivovarova, Andrey Filchenkov, Jan Zizka, Dmitry Ustalov
PublisherSpringer Nature
Pages152-163
Number of pages12
ISBN (Print)9783030012038
DOIs
StatePublished - 1 Jan 2018
Event7th International Conference Artificial Intelligence and Natural Language, AINL 2018 - St. Petersburg, Russian Federation
Duration: 17 Oct 201819 Oct 2018

Publication series

NameCommunications in Computer and Information Science
Volume930
ISSN (Print)1865-0929

Conference

Conference7th International Conference Artificial Intelligence and Natural Language, AINL 2018
Country/TerritoryRussian Federation
CitySt. Petersburg
Period17/10/1819/10/18

    Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

    Research areas

  • Acoustic features of speech, Child speech, Pitch, Vowel articulation index

ID: 36521269