English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

While current head-related transfer function (HRTF) personalization methods offer some ability to quickly customize spatial auditory displays, these techniques generally lack the realism and performance provided by full individualized HRTF measurements. This poor performance is likely due to the vast amount of individual spectral and spatial variation contained in a measured HRTF. While some of this variation contains important directional information, Kulkarni and Colburn (1998) showed that perceptually irrelevant spectral variation could be eliminated by smoothing the HRTF magnitude with a truncated Fourier series expansion. The present study investigates a related method for smoothing the spatial variation contained in an HRTF magnitude by utilizing a truncated spherical harmonic expansion. The perceptual impacts of various degrees of spatial smoothing were evaluated by comparing performance to performance obtained with full individualized HRTF measurements in a virtual localization task. Results indic...

The role of spatial detail in sound-source localization: Impact on HRTF modeling and personalization.