  This study investigates the approach of direction-dependent selection of
Head-Related Transfer Functions (HRTFs) and its impact on sound localization
accuracy. For applications such as virtual reality (VR) and teleconferencing,
obtaining individualized HRTFs can be beneficial yet challenging, the objective
of this work is therefore to assess whether incorporating HRTFs in a
direction-dependent manner could improve localization precision without the
need to obtain individualized HRTFs. A localization experiment conducted with a
VR headset assessed localization errors, comparing an overall best HRTF from a
set, against selecting the best HRTF based on average performance in each
direction. The results demonstrate a substantial improvement in elevation
localization error with the method motivated by direction-dependent HRTF
selection, while revealing insignificant differences in azimuth errors.
