Individual Distance-Dependent Hrtfs Modeling Through A Few Anthropometric Measurements

The lack of data is a major problem in individual HRTF modeling. There are many HRTF databases, but each database only has limited HRTFs and has its own characteristics, such as distance-dependent HRTFs or individual HRTFs. How to effectively model HRTFs through several different databases is an important task. In this paper, a method for predicting individual distance-dependent HRTFs using a few anthropometric parameters is proposed. By modeling the HRTFs in CIPIC database, which contains individual HRTFs in 1 meter, and the PKU&IOA database, which contains KEMAR HRTFs in eight distances, we predict the individual HRTFs in arbitrary directions and distances. The objective experiments show that the proposed model has less spectral distortions than distance variation function model. The subjective experiments show that the proposed model can predict the individual HRTFs in arbitrary directions and distances.