UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Biometrically Evolved Site-Specific Music as a Response to Localised Acoustic Conditions

Bavister, P; (2023) Biometrically Evolved Site-Specific Music as a Response to Localised Acoustic Conditions. In: Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023. (pp. pp. 6411-6418). European Acoustics Association (EAA) Green open access

[thumbnail of Paul Bavister_FA2023_03_FINAL .pdf]
Preview
Text
Paul Bavister_FA2023_03_FINAL .pdf - Published Version

Download (1MB) | Preview

Abstract

This paper describes a series of experiments to engage intelligent systems and biometric sensing in a reciprocally creative relationship between computer composed music and physical space, accessing correlations between spatial volume, materiality, and performance. The paper will review tests undertaken at UCL in 2022, in evolving site-specific music using virtual acoustics, evolutionary programming, and biometric sensing. The paper will describe and define the toolsets involved, neural networks to determine note generation and periodicity, evolutionary processes to determine sequencing and emotional response as a fitness function and summarises how these were applied. The analysis of the outputs is compared against the room’s acoustic data for correlations and relationships. Metrics to seek correlations against tempo fluctuations are T30, T20, EDT and C80. The output of the tests gives us clues as to what future music is likely to appeal emotionally in such spaces for differing listeners’ demographics. As the spaces chosen were not typical acoustic musical venues, there are no preconceived ideas about what would or should not sound acceptable in each. If music can evolve to suit a space, then surely each space, however acoustically detrimental, can host something that can be viewed as aesthetically pleasing and site specific.

Type: Proceedings paper
Title: Biometrically Evolved Site-Specific Music as a Response to Localised Acoustic Conditions
Event: 10th Convention of the European Acoustics Association Forum Acusticum 2023
Dates: 11 Sep 2023 - 15 Sep 2023
Open access status: An open access version is available from UCL Discovery
DOI: 10.61782/fa.2023.0306
Publisher version: http://doi.org/10.61782/fa.2023.0306
Language: English
Additional information: © 2023 First author et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Keywords: Evolutionary Computation, Biometric Sensing, Neural Networks, Virtual Acoustics
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > The Bartlett School of Architecture
URI: https://discovery.ucl.ac.uk/id/eprint/10190486
Downloads since deposit
2Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item