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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.