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Updated: Jan 21, 2026

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
Published on: August 19, 2021
The monaural spectral cues identified by a reverse correlation analysis of free-field auditory localization data
Kapilesh Balachandar1, Simon Carlile1
1Auditory Neuroscience Laboratory, University of Sydney, New South Wales 2006, Australia.
Abstract:
The outer-ear's location-dependent pattern of spectral filtering generates cues used to determine a sound source's elevation as well as front-back location. The authors aim to identify these features using a reverse correlation analysis (RCA), combining free-field localization behaviour with the associated head-related transfer functions' (HRTFs) magnitude spectrum from a sample of 73 participants. Localization responses were collected before and immediately after introducing a pair of outer-ear inserts which modified the listener's HRTFs to varying extent. The RCA identified several different features responsible for eliciting localization responses. The efficacy of these was examined using two models of monaural localization. In general, the predicted performance was closely aligned with the free-field localization error for the bare-ear condition; however, both models tended to grossly over-estimate the localization error based on HRTFs modified by the outer-ear inserts. The RCA's feature selection notably had the effect of better aligning the predicted performance of both models to the actual localization performance. This suggests that the RCA revealed sufficient detail for both models to correctly predict localization performance and also limited the influence of filtered-out elements in the distorted HRTFs that contributed to the degraded accuracy of both models.
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