HRTF modeling for efficient auralization
Julio Cesar Boscher Torres, Mariane R. Petraglia, Roberto A. Tenenbaum · 2004
This paper presents a computationally efficient auralization method, which combines a wavelet-based model for head related transfer functions (HRTFs) with the grouping of such functions for close directions. The proposed method results in a significant reduction of the processing time of the auralization process, by modeling the HRTFs using wavelet transforms and grouping them in regions around the listener, without compromising significantly the identification of a source sound direction. Simulation results obtained with the proposed auralization process are shown in the paper.