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DOI

The goal of the study is to compare emotional speech and vocalizations of 3-years old healthy children (control) and children with neurological disorders (risk), brought up in families and children from the orphanage (deprivation). Audio and video recording of the child’s speech and behavior were made in model situations, designed to evoke the emotional expressions of children during interaction with their mothers and the experimenter. Perceptual analysis was conducted to estimate the possibility of child’s emotional state recognition when listening the child’s speech and vocalizations by groups of native speakers: parents, experts, adults who do not have their own children. Native speakers have been attributed child’s utterances to the state of comfort, discomfort, neutral and to clarify the emotional state as anger, fear, sadness, happiness, surprise, calm. The acoustic characteristics of the child’s speech and vocalizations: pitch values, the range of pitch values, duration of utterances, duration of vocalizations and stressed vowels, formant frequencies were measured. Dialogues of children with mothers and experimenter were described for evaluation of the level of the child’s speech mastering. Phonetic analysis of child’s emotional utterances was made. Differences in recognition of emotional state between groups of children were revealed: native speakers identified emotional state in the voice of healthy children grown up at families better than in orphans’ voice, whereas experts recognized emotional state better compared to parents and adults without experience of interaction with their own children. The communication between children of risk and deprivation groups and adults is obstructed due to the features of the acoustic characteristics of their emotional speech.
Язык оригиналаанглийский
Название основной публикации18th International Conference on Speech and Computer, SPECOM 2016
Подзаголовок основной публикацииProceedings
РедакторыA. Ronzhin, R. Potapova, G. Nemeth
ИздательSpringer Nature
Страницы262-270
Число страниц9
Том9811
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
Сайт в сети Internet

    Области исследований

  • Acoustic features, Emotional state, Neurological disorders, Orphanage, Perceptive analysis

    Предметные области Scopus

  • Компьютерные науки (все)

ID: 46277531