Building an Embodied Musicking Dataset for co-creative music-making

Vear, Craig; Poltronieri, Fabrizio; Di Donato, Balandino; Zhang, Yawen; Benerradi, Johann; Hutchinson, Simon; Turowski, Paul; Shell, Jethro; Malekmohamadi, Hossein

doi:10.1007/978-3-031-56992-0_24

Building an Embodied Musicking Dataset for co-creative music-making

Vear, Craig; Poltronieri, Fabrizio; Di Donato, Balandino; Zhang, Yawen; Benerradi, Johann; Hutchinson, Simon; Turowski, Paul; Shell, Jethro; Malekmohamadi, Hossein

Authors

Craig Vear

Fabrizio Poltronieri

Dr Balandino Di Donato B.DiDonato@napier.ac.uk
Lecturer

Yawen Zhang

Johann Benerradi

Simon Hutchinson

Paul Turowski

Jethro Shell

Hossein Malekmohamadi

Abstract

In this paper, we present our findings of the design, development and deployment of a proof-of-concept dataset that captures some of the physiological, musicological, and psychological aspects of embodied musicking. After outlining the conceptual elements of this research, we explain the design of the dataset and the process of capturing the data. We then introduce two tests we used to evaluate the dataset: a) using data science techniques and b) a practice-based application in an AI-robot digital score. The results from these tests are conflicting: from a data science perspective the dataset could be considered garbage, but when applied to a real-world musicking situation performers reported it was transformative and felt to be ‘co-creative’. We discuss this duality and pose some important questions for future study. However, we feel that the datatset contains a set of relationships that are useful to explore in the creation of music.

Citation

Vear, C., Poltronieri, F., Di Donato, B., Zhang, Y., Benerradi, J., Hutchinson, S., Turowski, P., Shell, J., & Malekmohamadi, H. (2024, April). Building an Embodied Musicking Dataset for co-creative music-making. Presented at Evostar 2024: The Leading European Event on Bio‑Inspired Computation, Aberystwyth, Wales, United Kingdom

Presentation Conference Type	Conference Paper (Published)
Conference Name	Evostar 2024: The Leading European Event on Bio‑Inspired Computation
Start Date	Apr 3, 2024
End Date	Apr 5, 2024
Online Publication Date	Mar 29, 2024
Publication Date	2024
Deposit Date	May 23, 2024
Publicly Available Date	Mar 30, 2025
Publisher	Springer
Peer Reviewed	Peer Reviewed
Volume	14633
Pages	373-388
Series Title	Lecture Notes in Computer Science
Series Number	14633
Series ISSN	0302-9743
Book Title	Evostar 2024
ISBN	978-3-031-56991-3
DOI	https://doi.org/10.1007/978-3-031-56992-0_24
Keywords	dataset, music performance, embodied AI
Publisher URL	https://www.springer.com/gp/computer-science/lncs