ACOUSTIC SIMULATION AND AI IN PRESERVING ANCIENT MUSICAL SPACES

Abstract

Palatial, amphitheatrically, and temple musical sites must be preserved to conserve intangible cultural treasures, notably historical soundscapes. Ancient architects and musicians understood sound and designed structures around specific acoustic principles to enhance ceremonial and musical experiences. Unfortunately, environmental changes, structural deterioration, and urbanisation threaten these acoustic environments. We investigate how acoustic modelling and AI may reproduce and preserve the sound of long-lost music performance venues. 3D modelling, room acoustic simulations, and AI-driven sound analysis recreate the original audio experiences. The research analyses case studies of heritage places and historical architectural data, material attributes, and spatial arrangements to anticipate acoustic responses. Artificial intelligence systems use machine learning and deep learning to analyse and improve models of sound propagation, reverberation, and resonance patterns for predictive modelling. Acoustic simulations augmented using artificial intelligence may help us comprehend building acoustics, how people listened to music in the past, and how to conserve cultural treasures for future generations. These methodologies may also guide restoration, VR recreations, and educational platforms, ensuring that historic performance spaces will inspire future generations. The project highlights the interdisciplinary intersection of heritage science, computational acoustics, and AI to preserve human civilisations' auditory history via technology-driven preservation.