@inproceedings{discovery10190486,
           month = {September},
       publisher = {European Acoustics Association (EAA)},
       booktitle = {Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023},
            note = {{\copyright} 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.},
           pages = {6411--6418},
            year = {2023},
           title = {Biometrically Evolved Site-Specific Music as a Response to Localised Acoustic Conditions},
         journal = {Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023},
        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.},
             url = {http://doi.org/10.61782/fa.2023.0306},
          author = {Bavister, P},
        keywords = {Evolutionary Computation, Biometric Sensing,
Neural Networks, Virtual Acoustics},
            issn = {2221-3767}
}