Development of sound field simulation and optimization over large acoustic space by use of novel SEA method

Abstract

Panasonic is committed to providing customers with optimal PA system. The ability to predict PA system performance from digital mock-up is key to help designing optimal system under various conditions. Sound predictions over large spaces are challenging with FEM/BEM methods due to high computational cost and response sensitivity. Additionally, adding detail in source or boundary is difficult with Ray-tracing methods. Finally, traditional SEA methods don't provide sufficient resolution of response. We have investigated a novel SEA method with ability to predict spatial variations in acoustic response. Sound propagation in large public spaces over the full audio range was predicted, accounting for detailed loudspeaker source characteristics, room geometry and boundaries absorption. Predictions were validated against test in a Panasonic auditorium. Method was then used to predict PA system performance in public space under realistic noise conditions. Inverse method was used to synthesize background noise source from limited test data. STI predictions were then performed and optimization carried out to identify PA system loudness requirements in order to achieve best STI performance over wide area while minimizing signal loudness at any position for various background noise conditions.