Literature DB >> 23862740

Cross-cultural emotional prosody recognition: evidence from Chinese and British listeners.

Silke Paulmann1, Ayse K Uskul.   

Abstract

This cross-cultural study of emotional tone of voice recognition tests the in-group advantage hypothesis (Elfenbein & Ambady, 2002) employing a quasi-balanced design. Individuals of Chinese and British background were asked to recognise pseudosentences produced by Chinese and British native speakers, displaying one of seven emotions (anger, disgust, fear, happy, neutral tone of voice, sad, and surprise). Findings reveal that emotional displays were recognised at rates higher than predicted by chance; however, members of each cultural group were more accurate in recognising the displays communicated by a member of their own cultural group than a member of the other cultural group. Moreover, the evaluation of error matrices indicates that both culture groups relied on similar mechanism when recognising emotional displays from the voice. Overall, the study reveals evidence for both universal and culture-specific principles in vocal emotion recognition.

Mesh:

Year:  2013        PMID: 23862740     DOI: 10.1080/02699931.2013.812033

Source DB:  PubMed          Journal:  Cogn Emot        ISSN: 0269-9931


  18 in total

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Authors:  Rachel L C Mitchell; Agnieszka Jazdzyk; Manuela Stets; Sonja A Kotz
Journal:  Front Hum Neurosci       Date:  2016-10-18       Impact factor: 3.169

5.  How Psychological Stress Affects Emotional Prosody.

Authors:  Silke Paulmann; Desire Furnes; Anne Ming Bøkenes; Philip J Cozzolino
Journal:  PLoS One       Date:  2016-11-01       Impact factor: 3.240

6.  Gender Differences in the Recognition of Vocal Emotions.

Authors:  Adi Lausen; Annekathrin Schacht
Journal:  Front Psychol       Date:  2018-06-05

7.  Second Language Ability and Emotional Prosody Perception.

Authors:  Anjali Bhatara; Petri Laukka; Natalie Boll-Avetisyan; Lionel Granjon; Hillary Anger Elfenbein; Tanja Bänziger
Journal:  PLoS One       Date:  2016-06-02       Impact factor: 3.240

8.  Sensing emotion in voices: Negativity bias and gender differences in a validation study of the Oxford Vocal ('OxVoc') sounds database.

Authors:  Katherine S Young; Christine E Parsons; Richard T LeBeau; Benjamin A Tabak; Amy R Sewart; Alan Stein; Morten L Kringelbach; Michelle G Craske
Journal:  Psychol Assess       Date:  2016-09-22

9.  DAVID: An open-source platform for real-time transformation of infra-segmental emotional cues in running speech.

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Journal:  Behav Res Methods       Date:  2018-02

10.  The development of cross-cultural recognition of vocal emotion during childhood and adolescence.

Authors:  Georgia Chronaki; Michael Wigelsworth; Marc D Pell; Sonja A Kotz
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

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