Presentation 2005-08-18
Feature analysis of head-related transfer function for sound localization of nearby sources
Akihiro YOSHIDA, Tomoya MATSUMURA, Nobuyuki IWANAGA, Wataru KOBAYASHI, Takao ONOYE,
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Abstract(in English) Recent trend of 3D acoustics is to develop sound localization systems with the use of 2 channel stereo sound. In such kind of systems, head related transfer functions (HRTFs) are generally utilized to acheive sound localization. Under this situation, a low-cost algorithm for sound localization has been proposed, which takes advantage of the distinctive characteristics of HRTF in each frequency sub-band. In this paper, we first analyze the features of HRTF of nearby sound sources. Organization of processing modules to be added to the current architecture so as to realize sound localization for nearby sound sources is also described.
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Keyword(in English) 3D sound localization / nearby sound sources / head-related transfer function / feature analysis / frequency band division
Paper # EA2005-39
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Committee EA
Conference Date 2005/8/11(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Feature analysis of head-related transfer function for sound localization of nearby sources
Sub Title (in English)
Keyword(1) 3D sound localization
Keyword(2) nearby sound sources
Keyword(3) head-related transfer function
Keyword(4) feature analysis
Keyword(5) frequency band division
1st Author's Name Akihiro YOSHIDA
1st Author's Affiliation Graduate School of Information Science and Technology Osaka University()
2nd Author's Name Tomoya MATSUMURA
2nd Author's Affiliation Graduate School of Information Science and Technology Osaka University
3rd Author's Name Nobuyuki IWANAGA
3rd Author's Affiliation Graduate School of Language and Culture Osaka University
4th Author's Name Wataru KOBAYASHI
4th Author's Affiliation Arnis Sound Technologies, Co., Ltd.
5th Author's Name Takao ONOYE
5th Author's Affiliation Graduate School of Information Science and Technology Osaka University
Date 2005-08-18
Paper # EA2005-39
Volume (vol) vol.105
Number (no) 230
Page pp.pp.-
#Pages 6
Date of Issue