Defence of dissertation in the field of Acoustics and Audio Signal Processing M.Sc. (Tech.) Symeon Delikaris-Manias
The title of thesis is “Parametric spatial audio processing utilising compact microphone arrays”
Spatial hearing provides us with information about our surroundings: the location of multiple concurrent sound sources along with their corresponding distance, information about the space they reside in and their content. Parametric spatial sound technologies are multichannel signal processing algorithms that aim to capture, analyse and render a complex sound scene for a human listener in order that he or she obtains an understanding of the environment or has the auditory experience of being there.
This dissertation focuses on the development of parametric spatial audio technologies using prototype compact microphone arrays built by the author but also commercial ones. Compact arrays are of special interest since they can be adapted to fit in portable devices, opening the possibility of exploiting the potential of immersive spatial audio algorithm in our daily lives. The techniques developed in this thesis consider the use of signal processing algorithms adapted for human listeners, thus exploiting the capabilities and limitations of human spatial hearing. The findings of this research are in the following three areas of spatial audio processing: directional filtering, spatial audio reproduction, and direction of arrival estimation.
Opponent: Professor Craig Jin, University of Sydney, Australia
Supervisor: Professor Ville Pulkki, Aalto University School of Electrical Engineering, Department of Signal Processing and Acoustics.