A problem with ray-based acoustical modeling approaches is handling the potentially large number of interactions between a sound ray and any objects/surfaces it encounters. Typical solutions to modeling these interactions include emitting several "new" rays at each interaction point. Such solutions are computationally expensive except for simple environments. Rather than using such deterministic strategies, probabilistic techniques such as Russian Roulette can be applied instead. Russian Roulette ensures the path length of each acoustic ray is kept at a manageable size yet allows for paths of arbitrary size to be explored. Here we describe the application of Russian Roulette to acoustic modeling. Experimental results demonstrate the ability of Russian Roulette to provide a computationally reasonable solution to room acoustical modeling.
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