DocumentCode :
1618875
Title :
Optimization of spherical and spheroidal head model for Head Related Transfer Function customization: Magnitude comparison
Author :
Jo, Hyun ; Park, Youngjin ; Park, Youn-sik
Author_Institution :
Dept. of Mech. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon
fYear :
2008
Firstpage :
251
Lastpage :
254
Abstract :
Researchers have used a spherical head model to construct a HRTF (head related transfer function), which has a single adjustable parameter (radius of head) for HRTF customization mainly because of its simplicity. By using the mathematical form to calculate analytic spheroidal HRTF for an incident point source, a spheroidal head model can be used for near-field HRTF customization with two adjustable parameters (head width and head height). To see the necessity of head height consideration, two analytic solutions; spherical HRTF and spheroidal HRTF, are compared with a measured HRTF (KEMARpsilas HRTF). By varying head dimensions and ear offsets, notch frequency pattern is calculated. Through optimization procedure, we find an optimal parameters which minimizes notch pattern error between the estimated head notch pattern and notch pattern of measured HRTF. In the view point of magnitude of HRTF, performance of spherical head model and spheroidal head model is compared. Modeling error is reduced by using a spheroidal head model instead of the conventional spherical one.
Keywords :
acoustic signal processing; transfer functions; head related transfer function customization; notch frequency pattern; spherical head model; spheroidal head model; Biological system modeling; Electronic mail; Frequency measurement; Humans; Information analysis; Mechanical engineering; Pattern analysis; Time measurement; Torso; Transfer functions; Head Related Transfer Function; Prolate spheroid; Spectral notch;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
Type :
conf
DOI :
10.1109/ICCAS.2008.4694559
Filename :
4694559
Link To Document :
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