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Categorical emotion recognition from voice improves during childhood and adolescence

Grosbras, M.-H.; Ross, P.; Belin, P.

Categorical emotion recognition from voice improves during childhood and adolescence Thumbnail


Authors

M.-H. Grosbras

P. Belin



Abstract

Converging evidence demonstrates that emotion processing from facial expressions continues to improve throughout childhood and part of adolescence. Here we investigated whether this is also the case for emotions conveyed by non-linguistic vocal expressions, another key aspect of social interactions. We tested 225 children and adolescents (age 5–17) and 30 adults in a forced-choice labeling task using vocal bursts expressing four basic emotions (anger, fear, happiness and sadness). Mixed-model logistic regressions revealed a small but highly significant change with age, mainly driven by changes in the ability to identify anger and fear. Adult-level of performance was reached between 14 and 15 years of age. Also, across ages, female participants obtained better scores than male participants, with no significant interaction between age and sex effects. These results expand the findings showing that affective prosody understanding improves during childhood; they document, for the first time, continued improvement in vocal affect recognition from early childhood to mid- adolescence, a pivotal period for social maturation.

Citation

Grosbras, M., Ross, P., & Belin, P. (2018). Categorical emotion recognition from voice improves during childhood and adolescence. Scientific Reports, 8(1), Article 14791. https://doi.org/10.1038/s41598-018-32868-3

Journal Article Type Article
Acceptance Date Aug 20, 2018
Online Publication Date Oct 4, 2018
Publication Date Oct 4, 2018
Deposit Date Mar 12, 2018
Publicly Available Date Oct 4, 2018
Journal Scientific Reports
Publisher Nature Research
Peer Reviewed Peer Reviewed
Volume 8
Issue 1
Article Number 14791
DOI https://doi.org/10.1038/s41598-018-32868-3

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Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.




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