Head Related Transfer Function Personalization Based on Multiple Regression Analysis

Abstract

The synthesis of personalization virtual auditory space (VAS) is an important and challenging task in virtual reality. One of the key factors for personalization VAS is to obtain a set of proper head related transfer functions (HRTFs). In this paper, a customization method is presented by applying multiple linear regression analysis to HRTFs and some anthropometric parameters chosen by correlation analysis. Experiments show that the estimated HRTF has small mean square error, and has similar perception effect as the measured HRTF. Furthermore, the localization accuracy of personalized HRTF is increased compared to the non-individual HRTF