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http://dx.doi.org/10.7776/ASK.2009.28.5.409

Selection of Personalized Head Related Transfer Function Using a Binary Search tree  

Lee, Ki-Seung (건국대학교 정보통신대학 전자공학부)
Lee, Seok-Pil (전자부품연구원 방송통신융합 연구센터)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.5, 2009 , pp. 409-415 More about this Journal
Abstract
The head-related transfer function (HRTF), which has an important role in virtual sound localization has different characteristics across the subjects. Measuring HRTF is very time-consuming and requires a set of specific apparatus. Accordingly, HRTF customization is often employed. In this paper, we propose a method to search an adequate HRTF from a set of the HRTFs. To achieve rapid and reliable customization of HRTF, all HRTFs in the database are partitioned, where a binary search tree was employed. The distortion measurement adopted in HRTF partitioning was determined in a heuristic way, which predicts the differences in perceived sound location well. The DC-Davis CIPIC HRTF database set was used to evaluate the effectiveness of the proposed method. In the listening test, where 10 subjects were participated, the stimuli filtered by the HRTF obtained by the proposed method were closer to those by the personalized HRTF in terms of sound localization. Moreover, performance of the proposed method was shown to be superior to the previous customization method, where the HRFT is selected by using anthropometric data.
Keywords
Head-related transfer function; Customization; Binary search tree;
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Times Cited By KSCI : 1  (Citation Analysis)
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