Echtzeitauralisierung zahlreicher Schallquellen
Masterarbeit von Mösch, Lucas
Simultaneous rendering of numerous sound sources in real time still poses a challenge today. Especially for rendering virtual environments, where up to hundreds or thousands of potential sound source objects are present, not enough processing power is available to provide a convincing aural experience with common auralization approaches. This thesis proposes a new auralization pipeline which is focused on real time processing, while maintaining the plausibility of the virtual scene. This is done via state-of-the-art culling and clustering algorithms that reduce the number and complexity of sound source calculations, as well as a sophisticated sound source and cluster transitioning method, that ensures a seamless audio feedback for the user.