Realistic Auditory Artificial Intelligence: Spatial Sound Modelling to provide NPCs with Sound Perception

Cowan B, Kapralos B, Collins K. Realistic Auditory Artificial Intelligence: Spatial Sound Modelling to provide NPCs with Sound Perception. In: AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020). Audio Engineering Society; 2020. Paper 2-6. Available from: https://aes.org/publications/elibrary-page/?id=20876

@inproceedings{Cowan2020_20876,
  author = {Cowan, Brent and Kapralos, Bill and Collins, KC},
  title = {{Realistic Auditory Artificial Intelligence: Spatial Sound Modelling to provide NPCs with Sound Perception}},
  booktitle = {AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)},
  note = {Paper 2-6},
  year = {2020},
  month = aug,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=20876}
}

TY  - CPAPER
TI  - Realistic Auditory Artificial Intelligence: Spatial Sound Modelling to provide NPCs with Sound Perception
AU  - Cowan, Brent
AU  - Kapralos, Bill
AU  - Collins, KC
T2  - AES Conference: 2020 AES International Conference on Audio for Virtual and Augmented Reality (August 2020)
M1  - Paper 2-6
PY  - 2020
DA  - 2020/08/06
UR  - https://aes.org/publications/elibrary-page/?id=20876
PB  - Audio Engineering Society
LA  - en
AB  - Despite advancements in AI for games in recent years, non-player characters (NPCs) still do not perceive the world in a realistic manner. NPC’s sense of hearing has been limited or ignored. Building on our previous work that saw the development of GrAF, a graph-based spatial sound framework capable of modelling the propagation of sound through complex three dimensional virtual environments in real-time, here we apply this method to NPCs, providing them with the ability to “perceive” sounds in a more realistic manner, ultimately leading to more realistic NPC behavior.
ER  -