Auditory attention tracking states in a cocktail party environment can be decoded by deep convolutional neural networks

Abstract

Our proposed model improves the performance of a decoder for auditory attention tracking, which could be suitable for relieving the difficulty with the attentional modulation of individual's neural responses. It provides a novel communication channel with auditory cognitive BCI for patients with attention and hearing impairment.