Mixture-of-Experts Framework for Field-of-View Enhanced Signal-Dependent Binauralization of Moving Talkers

We propose a novel mixture of experts framework for field-of-view enhancement in binaural signal matching. Our approach enables dynamic spatial audio rendering that adapts to source motion, allowing users to emphasize or suppress sounds from selected directions while preserving natural bin-aural cues. Unlike traditional methods that rely on explicit direction-of-arrival estimation, our signal-dependent framework combines multiple binaural filters in an online manner using implicit localization. This allows for real-time tracking and enhancement of moving sound sources, supporting applications such as speech focus, noise reduction, and world-locked audio in augmented and virtual reality. The method is agnostic to array geometry and offers a flexible solution for spatial audio capture and playback in next-generation consumer audio devices.