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)
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-pp.ucl.ac.uk/id/eprint/10190486 |
Archive Staff Only
View Item |