Perceptual evaluation of an auditory model–based similarity metric for head-related transfer functions

A key challenge in binaural spatial audio personalisation is defining perceptual similarity metrics that meaningfully rate non-individual head-related transfer function (HRTF) fit. A metric using Bayesian auditory modelling has recently been proposed to address this. It predicts human localisation performance with non-individual HRTFs by matching their auditory cues to individual cues and selects the best and worst non-individual HRTFs based on predicted localisation errors. We present a percept