Alexander D. Boyd

This paper introduces a brain-inspired algorithm that improves automatic speech recognition accuracy in multi-talker scenes by up to 54% in low target-to-masker ratio conditions.

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

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.