Virginia Best

A biologically inspired algorithm improves speech intelligibility in noisy environments for people with hearing loss, outperforming standard beamforming approaches.

This study investigates how repeated context presentation affects sound localization plasticity, finding that variable contexts induce slower, stronger adaptation in both classroom and anechoic environments.

This paper introduces a biologically inspired algorithm for spatial sound segregation that mimics auditory processing and achieves performance comparable to multi-microphone systems without requiring training data.