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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. (Creative Media Technology)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. (Creative Media Technology)ORCID iD: 0000-0002-8623-8591
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID. (Creative Media Technology)ORCID iD: 0000-0003-1679-6018
KTH, School of Electrical Engineering and Computer Science (EECS), Human Centered Technology, Media Technology and Interaction Design, MID.
2021 (English)In: Proceedings of the 22nd International Conference on Music Information Retrieval, ISMIR 2021, International Society for Music Information Retrieval, 2021, p. 460-467Conference paper, Published paper (Refereed)
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
2021. p. 460-467
National Category
Media and Communication Technology
Research subject
Media Technology
Identifiers
URN: urn:nbn:se:kth:diva-301748Scopus ID: 2-s2.0-85184086384OAI: oai:DiVA.org:kth-301748DiVA, id: diva2:1593213
Conference
22nd International Conference on Music Information Retrieval, ISMIR 2021, Virtual, Online, 7 November 2021- 12 November 2021
Funder
Swedish Research Council, 2019-03694Marianne and Marcus Wallenberg Foundation, 2020.0102
Note

Part pf ISBN: 978-173272990-2 

QC 20211027

Available from: 2021-09-10 Created: 2021-09-10 Last updated: 2024-02-16Bibliographically approved

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Misgeld, OlofGulz, TorbjörnHolzapfel, AndreMiniotaitė, Jūra

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