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  Cross-cultural mood perception in pop songs and its alignment with mood detection algorithms

Lee, H., Höger, F., Schoenwiesner, M., Park, M., & Jacoby, N. (2021). Cross-cultural mood perception in pop songs and its alignment with mood detection algorithms. In Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021.

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21-cap-jac-04-cross.pdf (Publisher version), 2MB
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2021
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© H. Lee, F. Höger, M. Schönwiesner, M. Park, and N. Jacoby. Licensed under a Creative Commons Attribution 4.0 Interna- tional License (CC BY 4.0).
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 Creators:
Lee, Harin1, 2, Author
Höger, Frank2, Author           
Schoenwiesner, Marc1, 3, Author
Park, Minsu4, Author
Jacoby, Nori2, Author           
Affiliations:
1Max Planck Institute for Human Cognitive and Brain Sciences, ou_persistent22              
2Research Group Computational Auditory Perception, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_3024247              
3Leipzig University, ou_persistent22              
4New York University Abu Dhabi, ou_persistent22              

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 Abstract: Do people from different cultural backgrounds perceive the mood in music the same way? How closely do human ratings across different cultures approximate automatic mood detection algorithms that are often trained on corpora of predominantly Western popular music? Analyzing 166 participants responses from Brazil, South Korea, and the US, we examined the similarity between the ratings of nine categories of perceived moods in music and estimated their alignment with four popular mood detection algorithms. We created a dataset of 360 recent pop songs drawn from major music charts of the countries and constructed semantically identical mood descriptors across English, Korean, and Portuguese languages. Multiple participants from the three countries rated their familiarity, preference, and perceived moods for a given song. Ratings were highly similar within and across cultures for basic mood attributes such as sad, cheerful, and energetic. However, we found significant cross-cultural differences for more complex characteristics such as dreamy and love. To our surprise, the results of mood detection algorithms were uniformly correlated across human ratings from all three countries and did not show a detectable bias towards any particular culture. Our study thus suggests that the mood detection algorithms can be considered as an objective measure at least within the popular music context.

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 Dates: 2021
 Publication Status: Published online
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Title: The 22nd International Society for Music Information Retrieval Conference
Place of Event: Online
Start-/End Date: 2021-11-07 - 2021-11-12

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Title: Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021
Source Genre: Proceedings
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