Obtaining an optimal set of head-related transfer functions with a small amount of measurements

Abstract

This article presents a method to obtain personalized Head-Related Transfer Functions (HRTFs) for creating virtual soundscapes based on small amount of measurements. The best matching set of HRTFs are selected among the entries from publicly available databases. The proposed method is evaluated using a listening test where subjects assess the audio samples created using the best matching set of HRTFs against a randomly chosen set of HRTFs from the same location. The listening test indicates that subjects prefer the proposed method over random set of HRTFs.