Adaptive impulse response modeling for interactive sound propagation

Carl Schissler, Dinesh Manocha
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引用次数: 15

Abstract

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.
交互式声音传播的自适应脉冲响应建模
我们提出了新的技术来加速交互式声音渲染的脉冲响应的计算。我们的公式基于几何声学算法,该算法使用光线追踪来计算在大型动态场景中从每个声源到听众的传播路径。为了在多源场景中加速生成逼真的声学效果,我们引入了两个新概念:脉冲响应缓存和利用脉冲响应长度的心理声学特性的自适应频率驱动光线跟踪算法。与之前的方法相比,我们追踪的射线相对较少,同时保持实时应用的高模拟保真度。此外,我们的方法可以处理高混响场景和高动态范围的源。我们在许多场景中演示了它的应用,并观察到与以前的方法相比,计算时间加快了5倍,内存开销减少了大约两个数量级。我们还介绍了对我们的方法进行初步用户评估的结果。
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