Presentation 2000/10/12
Phase Characteristics of Approximated HRTFs Composed of IIR Filters
Takeshi Mashiko, Hiroshi Hasegawa, Masao Kasuga, Shuichi Matsumoto, Atsushi Koike,
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Abstract(in English) In order to simply realize sound image localization, a method using IIR filters which approximate head-related transfer functions (HRTFs) was proposed previously. Howerver the nonlinear phase characteristics of the IIR filters cause decrease of the localization accuracy. In this paper, we investigate the influence of the phase characteristics on the sound localization. First, we carried out sound image localization experiment using the HRTFs approximated by IIR filters. Next, the experimental errors of directional localization were compared with the theoretical values caluculated from the phase characteristics. As the results, the errors are almost similar to the theoretical values.
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Keyword(in English) Sound localization / Head-related transfer function (HRTF) / IIR filter / Phase characteristics
Paper # HCS2000-23
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Committee HCS
Conference Date 2000/10/12(1days)
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Registration To Human Communication Science (HCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Phase Characteristics of Approximated HRTFs Composed of IIR Filters
Sub Title (in English)
Keyword(1) Sound localization
Keyword(2) Head-related transfer function (HRTF)
Keyword(3) IIR filter
Keyword(4) Phase characteristics
1st Author's Name Takeshi Mashiko
1st Author's Affiliation Department of Information Science, Faculty of Engineering, Utsunomiya University()
2nd Author's Name Hiroshi Hasegawa
2nd Author's Affiliation Department of Information Science, Faculty of Engineering, Utsunomiya University
3rd Author's Name Masao Kasuga
3rd Author's Affiliation Department of Information Science, Faculty of Engineering, Utsunomiya University
4th Author's Name Shuichi Matsumoto
4th Author's Affiliation KDD R&D Laboratory
5th Author's Name Atsushi Koike
5th Author's Affiliation KDD R&D Laboratory
Date 2000/10/12
Paper # HCS2000-23
Volume (vol) vol.100
Number (no) 375
Page pp.pp.-
#Pages 6
Date of Issue