A Magnitude-Based Parametric Model Predicting the Audibility of HRTF Variation

Journal of the Audio Engineering Society, vol. 71, pp. 155–172

Abstract

This work proposes a parametric model for just noticeable differences of unilateral differences in head-related transfer functions (HRTFs).For seven generic magnitude-based distance metrics, common trends in their response to inter-individual and intra-individual HRTF differences are analyzed, identifying metric subgroups with pseudo-orthogonal behavior.On the basis of three representative metrics, a three-alternative forced-choice experiment is conducted, and the acquired discrimination probabilities are set in relation with distance metrics via different modeling approaches.A linear model, with coefficients based on principal component analysis and three distance metrics as input, yields the best performance, compared to a simple multi-linear regression approach or to principal component analysis-based models of higher complexity.

Authors 3

1. Shaima’a Doma Aachen Institute for Hearing Technology and Acoustics

   RWTH Aachen University · Consortium for Ocean-Sea Ice Modelling in Australia

   Affiliation as printed

   Institute for Hearing Technology and Acoustics , RWTH Aachen University , Aachen , Germany

   COSIMA A. ERMERT,

2. Cosima A. Ermert
3. Janina Fels Aachen Institute for Hearing Technology and Acoustics

   RWTH Aachen University

   Affiliation as printed

   Institute for Hearing Technology and Acoustics , RWTH Aachen University , Aachen , Germany

   Institute for Hearing Technology and Acoustics, RWTH Aachen University, Aachen, Germany