Yesterday, Mirco Pezzoli successfully defended his Ph.D. dissertation titled “Space-time Parametric approach to Extended Audio Reality.”
In his work, Mirco proposed a novel parametric model for sound field representation.
The parametric framework allows navigation and manipulation of recorded sound scenes and the rendering of directional virtual acoustic sources for extended reality applications.
Congratulations!
Abstract
The extended reality field is rapidly growing, primarily through augmented and virtual reality applications. In this context, Extended Audio Reality (EAR) refers to the subset of extended reality operations related to the audio domain. In this thesis, we propose a parametric approach to EAR conceived to provide an effective and intuitive framework for implementing EAR applications. The main challenges of EAR regard the processing of real sound fields and the rendering of virtual acoustic sources (VSs).
We introduce a novel parametric model for sound field representation based on few parameters. The proposed model allows both the navigation and manipulation of a recorded sound scene. The main feature of our solution consists in modeling the acoustic source directivity directly through the parameters of the representation.
Moreover, we can seamlessly implement virtual sources within the same parametric representation enabling EAR. We studied the VS implementation through a case study. In particular, we focused on the VS implementation of violins. Different solutions are outlined according to their invasiveness ranging from the measurement of historical instruments to vibroacoustic simulations of violin models.
Lastly, through a proof-of-concept simulation, we showcase the benefit of the proposed parametric approach to EAR.
