A graph-based real-time spatial sound framework

dc.contributor.advisorKapralos, Bill
dc.contributor.authorCowan, Brent B. D.
dc.date.accessioned2020-02-27T15:34:52Z
dc.date.accessioned2022-03-29T19:06:55Z
dc.date.available2020-02-27T15:34:52Z
dc.date.available2022-03-29T19:06:55Z
dc.date.issued2020-01-01
dc.degree.disciplineComputer Science
dc.degree.levelDoctor of Philosophy (PhD)
dc.description.abstractGiven the importance of sound, and our ability to localize sound sources in three-dimensions in the real world, incorporating spatial sound in virtual environments can help increase realism, improve the sense of “presence”, or “immersion”, improve task performance, and improve navigation speed and accuracy. However, despite advancements in the real-time simulation of spatial sound, current solutions are computationally expensive and often rely on specialised hardware, and as a result, spatial sound cues are often overlooked in virtual environments and games notwithstanding their importance. Here, a novel spatial sound rendering framework that approximates spatial sound for virtual environments, yet conforms to physical sound propagation rules/laws, is introduced. The framework employs graphs in order to reduce computation time and each node in the graph is processed in parallel using the graphics processing unit (GPU) making this method suitable for real-time virtual immersive applications such as video games and virtual simulations. Results of a user study that was conducted with human participants (the intended users of any spatial sound method), to test the effectiveness of the spatial sound framework introduced here, indicates it does lead to improved player performance over traditional panning (binaural sound cues only) and ray-cast occlusion in a 3D first-person video game.en
dc.description.sponsorshipUniversity of Ontario Institute of Technologyen
dc.identifier.urihttps://hdl.handle.net/10155/1136
dc.language.isoenen
dc.subjectSpatial sounden
dc.subjectReal-timeen
dc.subjectAcoustic modelingen
dc.subjectSound propagationen
dc.subjectGPUen
dc.titleA graph-based real-time spatial sound frameworken
dc.typeDissertationen
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Ontario Institute of Technology
thesis.degree.nameDoctor of Philosophy (PhD)

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