A technique has been developed for modeling real\u2010time sound propagation in static acoustic spaces that relies on pre\u2010computed wave simulation. The associated system can auralize propagation that includes diffraction, interference, scattering and late reverberation, while supporting tens of moving point sources and moving listener in highly complex three\u2010dimensional scenes. Since direct storage of simulated impulse responses for runtime use is infeasible, a novel technique was developed to extract and compactly encode the perceptually salient information in the simulated band\u2010limited impulse responses. The response is automatically broken into early reflections (ERs) and late reverberation (LR), via a threshold on the temporal density of arriving wave\u2010fronts. The LR is simulated and stored once per room. Detailed spatial variation in ER is simulated, and encoded by a set of peak delays\/amplitudes in the time domain and a residual frequency response sampled in octave bands, at each source\/receiver point pair on a five\u2010dimensional grid. An efficient run\u2010time uses this pre\u2010computed representation to perform binaural sound rendering based on frequency\u2010domain convolution. The system demonstrates audible wave\u2010based effects in real time\u2014diffraction low\u2010pass filtering behind obstructions, sound focusing (caustics), hollow reverberation in empty rooms, sound diffusion in fully\u2010furnished rooms, and late reverberation with non\u2010exponential decay.<\/p>\n","protected":false},"excerpt":{"rendered":"
A technique has been developed for modeling real\u2010time sound propagation in static acoustic spaces that relies on pre\u2010computed wave simulation. The associated system can auralize propagation that includes diffraction, interference, scattering and late reverberation, while supporting tens of moving point sources and moving listener in highly complex three\u2010dimensional scenes. 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