Speaker: Maya Tia Kanani.
Abstract: Accurate simulation of sound propagation is an ongoing problem. Current approaches are computationally demanding, especially in virtual environments where it is often necessary to consider complex geometries, real-time rendering and dynamic scenes. Whilst existing hybrid frameworks demonstrate the feasibility of combining numerical and geometric methods, achieving wave-based perceptual realism without sacrificing computational efficiency is an ongoing problem.
This project aims to address this by developing a numerical-geometrical hybrid acoustic simulation, through implementation of existing frameworks, which accounts for auditory perception. The model will simulate the acoustic field, and evaluate perceptual accuracy using existing metrics, exploring how limitations of human perception can guide simplifications to reduce computational cost. The model will be compared against existing tools to quantify its computational efficiency and perceptual accuracy.