GPU-Based Acoustical Diffraction Modeling for Complex Virtual Reality and Gaming Environments

Cowan B, Kapralos B. GPU-Based Acoustical Diffraction Modeling for Complex Virtual Reality and Gaming Environments. In: AES Conference: 41st International Conference: Audio for Games. Audio Engineering Society; 2011. Paper 3-2. Available from: https://aes.org/publications/elibrary-page/?id=15754

@inproceedings{Cowan2011_15754,
  author = {Cowan, Brent and Kapralos, Bill},
  title = {{GPU-Based Acoustical Diffraction Modeling for Complex Virtual Reality and Gaming Environments}},
  booktitle = {AES Conference: 41st International Conference: Audio for Games},
  note = {Paper 3-2},
  year = {2011},
  month = feb,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15754}
}

TY  - CPAPER
TI  - GPU-Based Acoustical Diffraction Modeling for Complex Virtual Reality and Gaming Environments
AU  - Cowan, Brent
AU  - Kapralos, Bill
T2  - AES Conference: 41st International Conference: Audio for Games
M1  - Paper 3-2
PY  - 2011
DA  - 2011/02/06
UR  - https://aes.org/publications/elibrary-page/?id=15754
PB  - Audio Engineering Society
LA  - en
AB  - Despite the importance of acoustical diffraction in out natural environment, modeling of such effects is complex and computationally expensive for all but trivial environments and therefore, typically ignored in virtual reality and gaming applications altogether. Driven by the gaming industry, consumer computer graphics hardware and the graphics processing unit (GPU) in particular, has greatly advanced in recent years, outperforming the computational capacity of central processing units (CPUs). Given the widespread use and availability of computer graphics hardware, GPUs have been successfully applied to other, non-graphics applications including audio processing and acoustical diffraction modeling. Here we build upon an existing GPU-based acoustical occlusion/diffraction modeling method that can become problematic when the sound source and the listener are in separate rooms. The proposed method approximates acoustical occlusion/diffraction effects for complex, multi-room environments. The method is computationally efficient allowing it to be incorporated into real-time, dynamic, and interactive virtual environments and videogames where the scene is arbitrarily complex.
ER  -