The Estimation of Personalized HRTFs in Individual VAS

The synthesis of individual virtual auditory system (VAS) is an important and state-of-the-art technology in virtual reality. One of the key factors for individual VAS is to obtain a set of proper head related transfer functions (HRTFs). A personalization method is presented in this paper. First, multiple linear regression analysis is applied to get the linear relationship between HRTFs and some anthropometric parameters; second, the magnitude response of the individual HRTF is estimated; finally the center frequencies of the two prominent notches in the estimated magnitude response are modified by using the center frequencies estimated from the subject´s pinna parameters. The results show that the modified HRTF is more approximate to the measured one.