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

Griffin D. Romigh | Zendy; Douglas S. Brungart | Zendy; Richard M. Stern | Zendy; Brian D. Simpson | Zendy

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

Author(s) -

Griffin D. Romigh,

Douglas S. Brungart,

Richard M. Stern,

Brian D. Simpson

Publication year - 2013

Publication title -

proceedings of meetings on acoustics

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.15

H-Index - 16

ISSN - 1939-800X

DOI - 10.1121/1.4799575

Subject(s) - smoothing , computer science , speech recognition , personalization , head related transfer function , transfer function , representation (politics) , variation (astronomy) , magnitude (astronomy) , harmonic , spatial analysis , pattern recognition (psychology) , artificial intelligence , acoustics , binaural recording , mathematics , computer vision , engineering , statistics , physics , astronomy , politics , world wide web , law , political science , electrical engineering , astrophysics

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...

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