DOI

The purpose of our study is to describe the different levels of speech organization of adults with autism spectrum disorders (ASD) and Mental retardation (MR). Informants in the study were 19 adults aged 29.9 ± 5.8 years (mental age 9–14 years) with autism spectrum disorders (n = 5, 23–41 years, 31 ± 6.5 y) and with mental retardation (n = 14, aged 21–43 year, 29.2 ± 5.8 y). We revealed the specificity of speech features in informants with ASD and MR in complexity of replicas in dialogues, gestures use, adequacy of replicas, phonetic and acoustic characteristics. Attribution of the emotional speech to states “comfort – neutral – discomfort” of the ASD informants is difficult for listeners. The listeners recognized neutral state in speech of ASD and MR informants better than comfort and discomfort states. Our study is the first step towards investigating the problem of the transition from childhood to adulthood for Russian people with atypical development. The findings of our study provide valuable information for health and other professionals working with people with intellectual disability.

Язык оригиналаанглийский
Название основной публикацииSpeech and Computer - 20th International Conference, SPECOM 2018, Proceedings
РедакторыRodmonga Potapova, Oliver Jokisch, Alexey Karpov
ИздательSpringer Nature
Страницы357-366
Число страниц10
ISBN (печатное издание)9783319995786
DOI
СостояниеОпубликовано - 1 янв 2018
Событие20th International Conference on Speech and Computer - Leipzig, Германия
Продолжительность: 18 сен 201822 сен 2018

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том11096 LNAI
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция20th International Conference on Speech and Computer
Сокращенное названиеSPECOM 2018
Страна/TерриторияГермания
ГородLeipzig
Период18/09/1822/09/18

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 36520943