Spatial Audio and Psychoacoustics in AI Contexts
Exploring AI-enhanced spatial audio for adaptive environments and psychoacoustic impact.
Spatial audio forms an important part of my research, particularly in relation to its psychoacoustic effects and applications in AI-enhanced environments such as virtual reality and gaming. My work at CEMI with the 44-speaker dome involves advanced spatialization techniques like Vector-Based Amplitude Panning (VBAP) and Ambisonics. I developed Python integrations with Ableton Live via the AbletonOSC library (to which I am a named contributor) and SpatGRIS, enabling object-level spatial movement in a flexible, venue-agnostic framework. This work investigates how AI and automated systems can enhance spatial sound experiences, making them adaptive to both environment and audience feedback.
Additionally, my stereo field analysis project, conducted in MATLAB, explores semiotic interpretation of stereo field dynamics in popular music, advancing our understanding of spatial audio's communicative potential.