Presentation 2014-08-19
Transaural Reproduction Using Low-Order Modeled HRTFs
Kentaro MATSUI, Yasushige NAKAYAMA, Maho SUGAYA, Shuichi ADACHI,
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Abstract(in English) This paper proposes a method for transaural reproduction using low-order modeled Head-Related Transfer Functions (HRTFs). The low-order modeling of HRTFs consists of two steps. First, a high-order Auto-Regressive eXogenous (ARX) model of an HRTF is estimated using the prediction error method. The order of the estimated ARX model is then reduced on the basis of the asymptotic theory. Transaural processing using the modeled HRTFs in done in the time domain. In general, the directly derived controller for crosstalk cancellation is unstable. A method for approximating the unstable components in the controller as stable ones with processing delays is proposed. A computer simulation indicated that the designed controller worked well for producing equalization and crosstalk cancellation.
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Keyword(in English) head-related transfer function / transaural / system identification / prediction error method / asymptotic method
Paper # EA2014-16
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Committee EA
Conference Date 2014/8/12(1days)
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Paper Information
Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Transaural Reproduction Using Low-Order Modeled HRTFs
Sub Title (in English)
Keyword(1) head-related transfer function
Keyword(2) transaural
Keyword(3) system identification
Keyword(4) prediction error method
Keyword(5) asymptotic method
1st Author's Name Kentaro MATSUI
1st Author's Affiliation ()
2nd Author's Name Yasushige NAKAYAMA
2nd Author's Affiliation
3rd Author's Name Maho SUGAYA
3rd Author's Affiliation
4th Author's Name Shuichi ADACHI
4th Author's Affiliation
Date 2014-08-19
Paper # EA2014-16
Volume (vol) vol.114
Number (no) 178
Page pp.pp.-
#Pages 6
Date of Issue