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Method Development for Multimodal Data Corpus Analysis of Expressive Instrumental Music Performance
Luleå University of Technology, Department of Arts, Communication and Education, Music, media and Theatre.ORCID iD: 0000-0001-9685-4702
Luleå University of Technology, Department of Arts, Communication and Education, Music, media and Theatre.ORCID iD: 0000-0002-4704-5420
Luleå University of Technology, Department of Arts, Communication and Education, Music, media and Theatre.
Luleå University of Technology, Department of Health Sciences, Health, Medicine and Rehabilitation.ORCID iD: 0000-0003-3901-0364
2020 (English)In: Frontiers in Psychology, E-ISSN 1664-1078, Vol. 11, no 576751Article in journal (Refereed) Published
Abstract [en]

Musical performance is a multimodal experience, for performers and listeners alike. This paper reports on a pilot study which constitutes the first step toward a comprehensive approach to the experience of music as performed. We aim at bridging the gap between qualitative and quantitative approaches, by combining methods for data collection. The purpose is to build a data corpus containing multimodal measures linked to high-level subjective observations. This will allow for a systematic inclusion of the knowledge of music professionals in an analytic framework, which synthesizes methods across established research disciplines. We outline the methods we are currently developing for the creation of a multimodal data corpus dedicated to the analysis and exploration of instrumental music performance from the perspective of embodied music cognition. This will enable the study of the multiple facets of instrumental music performance in great detail, as well as lead to the development of music creation techniques that take advantage of the cross-modal relationships and higher-level qualities emerging from the analysis of this multi-layered, multimodal corpus. The results of the pilot project suggest that qualitative analysis through stimulated recall is an efficient method for generating higher-level understandings of musical performance. Furthermore, the results indicate several directions for further development, regarding observational movement analysis, and computational analysis of coarticulation, chunking, and movement qualities in musical performance. We argue that the development of methods for combining qualitative and quantitative data are required to fully understand expressive musical performance, especially in a broader scenario in which arts, humanities, and science are increasingly entangled. The future work in the project will therefore entail an increasingly multimodal analysis, aiming to become as holistic as is music in performance.

Place, publisher, year, edition, pages
Lausanne: Frontiers Media S.A., 2020. Vol. 11, no 576751
Keywords [en]
embodied music cognition, movement analysis, chunking, stimulated recall, coarticulation, expressive music performance, multimodal analysis
National Category
Physiotherapy Music
Research subject
Physiotherapy; Musical Performance
Identifiers
URN: urn:nbn:se:ltu:diva-81687DOI: 10.3389/fpsyg.2020.576751ISI: 000599575500001PubMedID: 33343452Scopus ID: 2-s2.0-85097849484OAI: oai:DiVA.org:ltu-81687DiVA, id: diva2:1504619
Funder
Luleå University of TechnologyNorrbotten County Council
Note

Validerad;2021;Nivå 2;2021-01-08 (johcin)

Available from: 2020-11-29 Created: 2020-11-29 Last updated: 2022-02-10Bibliographically approved

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Visi, FedericoÖstersjö, StefanEk, RobertRöijezon, Ulrik

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