M. Geronazzo, E. Peruch, F. Prandoni, and F. Avanzini, “Applying a Single-Notch Metric to Image-Guided Head-Related Transfer Function Selection for Improved Vertical Localization,” J. Audio Eng. Soc., vol. 67, no. 6, pp. 414–428, Jun. 2019, doi: 10.17743/jaes.2019.0010.
Geronazzo M, Peruch E, Prandoni F, Avanzini F. Applying a Single-Notch Metric to Image-Guided Head-Related Transfer Function Selection for Improved Vertical Localization. J Audio Eng Soc. 2019;67(6):414-428. doi:10.17743/jaes.2019.0010
@article{Geronazzo2019_20483,
author = {Geronazzo, Michele and Peruch, Enrico and Prandoni, Fabio and Avanzini, Federico},
title = {{Applying a Single-Notch Metric to Image-Guided Head-Related Transfer Function Selection for Improved Vertical Localization}},
journal = {Journal of the Audio Engineering Society},
volume = {67},
number = {6},
pages = {414--428},
year = {2019},
month = jun,
publisher = {Audio Engineering Society},
doi = {10.17743/jaes.2019.0010},
url = {https://doi.org/10.17743/jaes.2019.0010}
}
TY - JOUR
TI - Applying a Single-Notch Metric to Image-Guided Head-Related Transfer Function Selection for Improved Vertical Localization
AU - Geronazzo, Michele
AU - Peruch, Enrico
AU - Prandoni, Fabio
AU - Avanzini, Federico
T2 - Journal of the Audio Engineering Society
J2 - J. Audio Eng. Soc.
VL - 67
IS - 6
SP - 414
EP - 428
PY - 2019
DA - 2019/06/06
DO - 10.17743/jaes.2019.0010
UR - https://doi.org/10.17743/jaes.2019.0010
PB - Audio Engineering Society
LA - en
AB - 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.
ER -