Acoustical modelling is complex and often face difficulties when having to run in real time, when both source and listener are moving dynamically and independently. Large amounts of calculations are required at run-time in order to produce plausible results. In order to mitigate the amount of calculations required at run-time, this paper investigates the use of radiance-transfer method to calculate relevant geometrical statistics, which can then be used to set the parameters of a feedback-delay network according to said statistics. Feedback delay networks are known for their low computational cost, and generally good overall quality and are thus popular in real-time applications. This project seeks to find an order of feedback-delay network that sits at a good middle ground between computational cost, and subjective quality experience.
A MURSHA inspired test revealed that significant differences in participant experiences are present when comparing lower order systems. Testing also revealed that it becomes gradually less impactful to the listening experience, when comparing higher order systems, beyond 8th order. Further testing is required for the overall listening experience of the system itself compared to other systems.