Adaptive Impulse Response Modeling for Interactive Sound Propagation

Carl Schissler, Dinesh Manocha

University of North Carolina at Chapel Hill


We present novel techniques to accelerate the computation of impulse responses for interactive sound rendering. Our formulation is based on geometric acoustic algorithms that use ray tracing to compute the propagation paths from each source to the listener in large, dynamic scenes. In order to accelerate generation of realistic acoustic effects in multi-source scenes, we introduce two novel concepts: the impulse response cache and an adaptive frequency-driven ray tracing algorithm that exploits psychoacoustic characteristics of the impulse response length. As compared to prior approaches, we trace relatively fewer rays while maintaining high simulation fidelity for real-time applications. Furthermore, our approach can handle highly reverberant scenes and high-dynamic-range sources. We demonstrate its application in many scenarios and have observed a 5x speedup in computation time and about two orders of magnitude reduction in memory overhead compared to previous approaches. We also present the results of a preliminary user evaluation of our approach.


Adaptive Impulse Response Modeling for Interactive Sound Propagation
Proceedings of i3D 2016


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