2 papers
eess.AS2026
MAV-C: A Framework for the Joint Objective Estimation of Audio-Visual Complexity in Immersive Virtual Environments
Luca Resti, Amelia Gully, Michael McLoughlin +2
We present the Motion-Aware Audio-Visual Complexity Metric (MAV-C), a reference-free framework for the joint objective estimation of audio-visual complexity. The metric combines en…
eess.AS2025
Perceptual Evaluation of Extrapolated Spatial Room Impulse Responses From a Mono Source
Ben Heritage, Fiona Ryder, Michael McLoughlin +1
Immersion in virtual and augmented reality solutions is reliant on plausible spatial audio. However, plausibly representing a space for immersive audio often requires many individu…