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Updated: May 10, 2025
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Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
Published on: August 9, 2024
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Investigating Cross-Cultural Vocal Emotion Recognition With an Affectively and Linguistically Balanced Design
Yachan Liang1, Martijn Goudbeek2, Agnieszka Konopka3
1Centre for Language Studies, Radboud University Nijmegen, The Netherlands.
Language and Speech
|April 24, 2025
Summary
Cross-cultural vocal emotion recognition is more accurate in a listener's native language, according to this study. The research also identified specific emotion characteristics influencing recognition accuracy across cultures.
Area of Science:
- Psychology
- Linguistics
- Speech Science
Background:
- Vocal emotion recognition is crucial for social interaction.
- Cross-cultural variations in emotion perception remain incompletely understood.
- Existing research often lacks linguistically and affectively balanced corpora.
Purpose of the Study:
- To investigate cross-cultural vocal emotion recognition in Dutch and Korean languages.
- To introduce the Demo/Koremo corpus for Dutch and Korean emotional speech.
- To explore the influence of arousal, valence, and basicness on emotion recognition.
Main Methods:
- Development of the Demo/Koremo corpus with 8 emotions portrayed by Dutch and Korean actors.
- Participants (Dutch and Korean) listened to emotional speech in both languages.
- Listeners identified the expressed emotion for each vocalization.
Main Results:
- Both groups recognized emotions significantly above chance in both Dutch and Korean.
- Native language recognition was more accurate than cross-lingual recognition (Dialect Theory).
- Low-arousal, negative, and basic emotions were recognized more accurately.
Conclusions:
- Vocal emotion recognition is influenced by cultural and linguistic factors.
- The Demo/Koremo corpus provides a valuable resource for future research.
- Findings advance understanding of cross-cultural emotion perception and methodological approaches.
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