This paper describes an image-guided HRTF selection procedure that exploits the relation between features of the pinna shape and HRTF notches. Using a 2D image of a user’s pinna, the procedure selects from a database the HRTF set that best fits the anthropometry of that user. The proposed procedure is designed to be quickly applied and easy to use for a user without previous knowledge of binaural audio technologies. The entire process is evaluated by means of an auditory model for sound localization in the mid-sagittal plane available from previous literature and a short localization test in virtual reality. Using both virtual and real subjects from a HRTF database, predictions and the experimental evaluation aimed to assess the vertical localization performance with HRTF sets are selected by the proposed procedure. The results report a statistically significant improvement in predictions of the auditory model for localization performance with selected HRTFs compared to KEMAR HRTFs.

Authors: Geronazzo, Michele; Peruch, Enrico; Prandoni, Fabio; Avanzini, Federico
Affiliations: Dept. of Architecture, Design, and Media Technology, Aalborg University, Copenhagen, Denmark; Dept. of Information Engineering, University of Padova, Padova, Italy; Dept. of Information Engineering, University of Padova, Padova, Italy; Dept. of Computer Science, University of Milano, Milano, Italy(See document for exact affiliation information.)
JAES Volume 67 Issue 6 pp. 414-428; June 2019
Publication Date: June 9, 2019

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