TY - JOUR
T1 - HRTF selection by anthropometric regression for improving horizontal localization accuracy
AU - Spagnol, Simone
PY - 2020
Y1 - 2020
N2 - This work focuses on objective Head-Related Transfer Function (HRTF) selection from anthropometric measurements for minimizing localization error in the frontal half of the horizontal plane. Localization predictions for every pair of 90 subjects in the HUTUBS database are first computed through an interaural time difference-based auditory model, and an error metric based on the predicted lateral error is derived. A multiple stepwise linear regression model for predicting error from intersubject anthropometric differences is then built on a subset of subjects and evaluated on a complementary test set. Results show that by using just three anthropometric parameters of the head and torso (head width, head depth, and shoulder circumference) the model is able to identify non-individual HRTFs whose predicted horizontal localization error generally lies below the localization blur. When using a lower number of anthropometric parameters, this result is not guaranteed.
AB - This work focuses on objective Head-Related Transfer Function (HRTF) selection from anthropometric measurements for minimizing localization error in the frontal half of the horizontal plane. Localization predictions for every pair of 90 subjects in the HUTUBS database are first computed through an interaural time difference-based auditory model, and an error metric based on the predicted lateral error is derived. A multiple stepwise linear regression model for predicting error from intersubject anthropometric differences is then built on a subset of subjects and evaluated on a complementary test set. Results show that by using just three anthropometric parameters of the head and torso (head width, head depth, and shoulder circumference) the model is able to identify non-individual HRTFs whose predicted horizontal localization error generally lies below the localization blur. When using a lower number of anthropometric parameters, this result is not guaranteed.
KW - Anthropometry
KW - HRTF
KW - ITD
KW - auditory model
KW - sound localization
UR - https://ieeexplore.ieee.org/document/9050904
UR - http://www.scopus.com/inward/record.url?scp=85085081954&partnerID=8YFLogxK
U2 - 10.1109/lsp.2020.2983633
DO - 10.1109/lsp.2020.2983633
M3 - Journal article
SN - 1070-9908
VL - 27
SP - 590
EP - 594
JO - IEEE Signal Processing Letters
JF - IEEE Signal Processing Letters
M1 - 9050904
ER -