Generative soundscapes in exhibition contexts: Methods, implementation and perspectives

Abstract Generative soundscapes in exhibition spaces offer new possibilities for integrating artistic practice, technological innovation and perceptual experience. Contemporary tools – including stochastic algorithms, random oscillators and diverse methods of sound synthesis – enable the construction of environments that respond dynamically to external conditions. With the integration of artificial intelligence and machine learning, such systems acquire additional flexibility: they are able to register the presence and movement of visitors, evaluate changes in audience density and adjust to the acoustic properties of the space in real time. As a result, sound layers can emerge when a participant approaches, the balance of elements may shift with fluctuations in the crowd, and potential peaks in volume can be anticipated and mitigated. In this way, a fixed soundtrack is transformed into an adaptive system, where the exhibition environment functions as an active, responsive organism. Sound ceases to serve merely as a background and becomes a structural component that directly influences how the artistic work is perceived.