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1.
Cogn Process ; 25(1): 89-106, 2024 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-37995082

RESUMEN

Laughter is one of the most common non-verbal features; however, contrary to the previous assumptions, it may also act as signals of bonding, affection, emotional regulation agreement or empathy (Scott et al. Trends Cogn Sci 18:618-620, 2014). Although previous research agrees that laughter does not form a uniform group in many respects, different types of laughter have been defined differently by individual research. Due to the various definitions of laughter, as well as their different methodologies, the results of the previous examinations were often contradictory. The analysed laughs were often recorded in controlled, artificial situations; however, less is known about laughs from social conversations. Thus, the aim of the present study is to examine the acoustic realisation, as well as the automatic classification of laughter that appear in human interactions according to whether listeners consider them to be voluntary or involuntary. The study consists of three parts using a multi-method approach. Firstly, in the perception task, participants had to decide whether the given laughter seemed to be rather involuntary or voluntary. In the second part of the experiment, those sound samples of laughter were analysed that were considered to be voluntary or involuntary by at least 66.6% of listeners. In the third part, all the sound samples were grouped into the two categories by an automatic classifier. The results showed that listeners were able to distinguish laughter extracted from spontaneous conversation into two different types, as well as the distinction was possible on the basis of the automatic classification. In addition, there were significant differences in acoustic parameters between the two groups of laughter. The results of the research showed that, although the distinction between voluntary and involuntary laughter categories appears based on the analysis of everyday, spontaneous conversations in terms of the perception and acoustic features, there is often an overlap in the acoustic features of voluntary and involuntary laughter. The results will enrich our previous knowledge of laughter and help to describe and explore the diversity of non-verbal vocalisations.


Asunto(s)
Risa , Humanos , Risa/fisiología , Risa/psicología , Comunicación , Empatía , Acústica , Sonido
2.
Clin Linguist Phon ; 32(9): 787-803, 2018.
Artículo en Inglés | MEDLINE | ID: mdl-29393703

RESUMEN

Numerous investigations have identified weaknesses in speech processing and language skills in children with dyslexia; however, little is known about these abilities in children with reading difficulties (RD). The primary objective of this investigation was to determine the utility of auditory speech processing tasks in differentiating children with RD from those with typical reading skills. It was hypothesized that children, who perform below grade level in reading, would also show poorer performance on both dichotic listening and sentence repetition tasks because of the reciprocal influences of deficient auditory speech processing and language abilities. A total of 180 Hungarian-speaking, monolingual 8-, 9- and 10-year-old children, with and without RD, participated in dichotic listening and sentence repetition (modified by noise and morphosyntactic complexity) tasks. Performances were compared across ability groups, age and gender. Children with RD evidenced significantly poorer performance than controls on both tasks. Effects for age and gender were more noticeable in students with RD. Our findings support the notion that reading deficiencies are also associated with poor auditory speech processing and language abilities in cases where dyslexia is not diagnosed. We suggest that these tasks may be used as easy and fast screening tests in the identification of RD.


Asunto(s)
Percepción Auditiva/fisiología , Pruebas de Audición Dicótica/métodos , Lenguaje , Lectura , Niño , Dislexia/diagnóstico , Femenino , Humanos , Masculino , Percepción del Habla
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