Common acoustical-poles/zeros modeling for 3D sound processing

Abstract

HRTFs(Head Related Transfer Functions) are a set of transfer functions from different spatial locations to both ears. They constitute an important database in 3-D sound signal processing. However, such an enormous data set makes real-time implementations difficult. Inspired by the resonant characteristic of pinnae, we seek a common-pole/zero model to reduce this vast data set. A Shanks common-poles model is proposed to improve previous Prony work. Based on a linearized least-squares criterion, a novel approach using iterative prefiltering and recursive updating the common poles is proposed and outperforms previous works.