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  Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody

van Rijn, P., & Larrouy-Maestri, P. (2023). Modelling individual and cross-cultural variation in the mapping of emotions to speech prosody. Nature Human Behaviour, 7, 386-396. doi:10.1038/s41562-022-01505-5.

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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.

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 Creators:
van Rijn, Pol1, Author                 
Larrouy-Maestri, Pauline2, 3, Author                 
Affiliations:
1Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              
2Department of Music, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421696              
3Max Planck–NYU Center for Language, Music, and Emotion, New York, NY, USA, ou_persistent22              

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Free keywords: Human behaviour; Science, technology and society
 Abstract: The existence of a mapping between emotions and speech prosody is commonly assumed. We propose a Bayesian modelling framework to analyse this mapping. Our models are fitted to a large collection of intended emotional prosody, yielding more than 3,000 minutes of recordings. Our descriptive study reveals that the mapping within corpora is relatively constant, whereas the mapping varies across corpora. To account for this heterogeneity, we fit a series of increasingly complex models. Model comparison reveals that models taking into account mapping differences across countries, languages, sexes and individuals outperform models that only assume a global mapping. Further analysis shows that differences across individuals, cultures and sexes contribute more to the model prediction than a shared global mapping. Our models, which can be explored in an online interactive visualization, offer a description of the mapping between acoustic features and emotions in prosody.

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Language(s): eng - English
 Dates: 2021-07-162022-11-282023-01-162023-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41562-022-01505-5
 Degree: -

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Title: Nature Human Behaviour
Source Genre: Journal
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Publ. Info: London : Nature Research
Pages: - Volume / Issue: 7 Sequence Number: - Start / End Page: 386 - 396 Identifier: ISSN: 2397-3374
CoNE: https://pure.mpg.de/cone/journals/resource/2397-3374