The goal of this study is to find out the acoustic features specific for ASD children vocalizations and speech. Three types of experiments were conducted: emotional speech, spontaneous speech, and the repetition of words. Participants in the study were children with ASD (F 84.0 according to ICD-10), biologically aged 5-14 years (n = 25 children) and typically developing (TD) children aged 5-14 years (n = 60). We compare acoustic features that are widely used in speech recognition and speech perception: pitch values, max and min values of pitch, pitch range, formants frequency, energy and duration. Formant triangles were plotted for vowels with apexes corresponding to the vowels [a], [u], and [i] in F1, F2 coordinates, and their areas were compared. For all children with ASD voice and speech is characterized by high values of pitch, abnormal spectrum, and well-marked high-frequency. Stressed vowels from the words of children (TD & ASD), spoken in discomfort, have higher values of pitch and the third (emotional
Язык оригиналаанглийский
Название основной публикации18th International Conference on Speech and Computer, SPECOM 2016
Подзаголовок основной публикацииProceedings
РедакторыA. Ronzhin, R. Potapova, G. Nemeth
ИздательSpringer Nature
Страницы43-50
ISBN (электронное издание)9783319439587
ISBN (печатное издание)9783319439570
DOI
СостояниеОпубликовано - 2016
Событие18 International Conference on Speech and Computer - Budapest, Hungary, Budapest, Венгрия
Продолжительность: 23 авг 201627 авг 2016
Номер конференции: 18
http://www.specom2016.hte.hu/

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ИздательSpringer
Том9811
ISSN (печатное издание)0302-9743

конференция

конференция18 International Conference on Speech and Computer
Сокращенное названиеSpecom 2016
Страна/TерриторияВенгрия
ГородBudapest
Период23/08/1627/08/16
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