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Head Related Transfer Function Refinement Using Directional Weighting Function
The non-individualized head related transfer function (HRTF) is known to have a few problems, which are referred to the 'hole in the middle' phenomenon and 'front-back reversals'. To overcome these problems, a HRTF refinement technique was introduced, but unfortunately, this refinement technique causes sudden degradation in sound quality to occur and difficulty in cross-talk cancellation because of notch frequency exaggeration. In this paper, an HRTF refinement using directional weighting function has been proposed to solve these problems. This newly proposed technique weights ordinary HRTF according to its direction to amplify frontal sound intensity. As a result, spectral differences in the 'cone-of-confusion' region become more pronounced within overall audible frequencies without having to exaggerate notch frequency. Also, by using this function, cross-talk cancellation filter can be made more easily. We have verified through listening tests that the proposed technique is superior to the previous HRTF refinement in terms of both sound localization and sound quality. Therefore, the refinement of HRTF through the use of the directional weighting function can be applied in the virtual reality, 3D entertainment and auralization program to require high quality sound.
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