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