A Note on Auditory Target Detection via Collaborative Use of Auditory and fMRI Features

Abstract

In this paper, we present an auditory target detection method using auditory and functional Magnetic Resonance Imaging (fMRI) features calculated from auditory signals and Blood Oxygenation Level Dependent (BOLD) signals scanned by fMRI, respectively. Our method classifies target segments and non-target segments via collaborative use of the two kinds of features. Specifically, our method constructs two classifiers respectively using only auditory or fMRI features and integrates these results based on the confidence output from each classifier. Consequently, multimodal classification becomes feasible by our method. Experimental results show the improvement of our method over the methods using only auditory or fMRI features.