Parametric Wave Field Coding for Precomputed Sound Propagation
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH 2014 | , Vol 33
The acoustic wave field in a complex scene is a chaotic 7D function of time and the positions of source and listener, making it difficult to compress and interpolate. This hampers precomputed approaches which tabulate impulse responses (IRs) to allow immersive, real-time sound propagation in static scenes. We code the field of time-varying IRs in terms of a few perceptual parameters derived from the IR’s energy decay. The resulting parameter fields are spatially smooth and compressed using a lossless scheme similar to PNG. We show that this encoding removes two of the seven dimensions, making it possible to handle large scenes such as entire game maps within 100MB of memory. Run-time decoding is fast, taking 100 microseconds per source. We introduce an efficient and scalable method for convolutionally rendering acoustic parameters that generates artifact-free audio even for fast motion and sudden changes in reverberance. We demonstrate convincing spatially-varying effects in complex scenes including occlusion/obstruction and reverberation, in our system integrated with Unreal Engine(TM).
Accompanying presentation material can be found here.
Interactive sound simulation: Rendering immersive soundscapes in games and virtual reality
The audio-visual immersion of game engines and virtual reality/mixed reality has a vast range of applications, from entertainment to productivity. Physical simulation is required in these applications to produce nuanced, believable renderings that respond fluidly to unpredictable user interaction. Simulating sound phenomena synchronized with visuals must be done within tight real-time constraints. The wave behavior of audible sound is quite different from visible light, requiring fundamentally distinct techniques. The resulting challenges have impeded practical adoption in the past, but these barriers are finally being overcome, with accelerating usage of advanced sound technologies in interactive applications today. In this webinar led by Microsoft Principal Researcher Dr. Nikunj Raghuvanshi, learn the ins and outs of creating practical, high-quality sound simulations. You will get an overview of the…
Parametric Wave Field Coding for Precomputed Sound Propagation
The acoustic wave field in a complex scene is a chaotic 7D function of time and the positions of source and listener, making it difficult to compress and interpolate. This hampers precomputed approaches which tabulate impulse responses (IRs) to allow immersive, real-time sound propagation in static scenes. We code the field of time-varying IRs in terms of a few perceptual parameters derived from the IR’s energy decay. The resulting parameter fields are spatially smooth and compressed using a lossless scheme similar to PNG. We show that this encoding removes two of the seven dimensions, making it possible to handle large scenes such as entire game maps within 100MB of memory. Run-time decoding is fast, taking 100 microseconds per source. We introduce an efficient and scalable…