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A CASE STUDY OF DEEP ENCULTURATION AND SENSORIMOTOR SYNCHRONIZATION TO REAL MUSIC
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. KMH Royal College of Music.ORCID iD: 0000-0003-0646-5426
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. KMH Royal College of Music.ORCID iD: 0000-0002-8623-8591
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. KTH Royal Institute of Technology, Sweden.ORCID iD: 0000-0003-1679-6018
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. KTH Royal Institute of Technology, Sweden.
2021 (English)In: Proceedings of the International Society for Music Information Retrieval Conference, International Society for Music Information Retrieval , 2021, Vol. 2021, p. 460-467Chapter in book (Other academic)
Abstract [en]

Synchronization of movement to music is a behavioural capacity that separates humans from most other species. Whereas such movements have been studied using a wide range of methods, only few studies have investigated synchronisation to real music stimuli in a cross-culturally comparative setting. The present study employs beat tracking evaluation metrics and accent histograms to analyze the differences in the ways participants from two cultural groups synchronize their tapping with either familiar or unfamiliar music stimuli. Instead of choosing two apparently remote cultural groups, we selected two groups of musicians that share cultural backgrounds, but that differ regarding the music style they specialize in. The employed method to record tapping responses in audio format facilitates a fine-grained analysis of metrical accents that emerge from the responses. The identified differences between groups are related to the metrical structures inherent to the two musical styles, such as non-isochronicity of the beat, and differences between the groups document the influence of the deep enculturation of participants to their style of expertise. Besides these findings, our study sheds light on a conceptual weakness of a common beat tracking evaluation metric, when applied to human tapping instead of machine generated beat estimations.

Place, publisher, year, edition, pages
International Society for Music Information Retrieval , 2021. Vol. 2021, p. 460-467
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-361139Scopus ID: 2-s2.0-85219547453OAI: oai:DiVA.org:kth-361139DiVA, id: diva2:1944093
Note

QC 20250313

Available from: 2025-03-12 Created: 2025-03-12 Last updated: 2025-03-13Bibliographically approved

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Misgeld, OlofGulz, TorbjörnHolzapfel, AndreMiniotaitė, Jūra

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  • apa
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