Toolkit for individualization of head-related transfer functions using parametric notch-peak model

Abstract

Although sound image control and sound field reproduction based on head-related transfer functions (HRTFs) have been studied for years, they have not been put to practical use. The main reason is that individual differences in HRTFs have not been overcome. In the present paper, we propose the parametric notch-peak HRTF model (PNP model), which can continuously change the parameters corresponding to individual differences in HRTFs by using knowledge of spectral notches and peaks and an HRTF database. We then develop a toolkit that can generate individual HRTFs by having the listener adjust the parameters. Finally, localization tests are carried out in order to examine the performance of the individualized HRTFs using the PNP model.