Head Related Transfer Function (HRTF) databases, including the information of the sounds arrived at the ears, are generally used to make the 3D sound. The convolution of the HRTF with the original sound is a general method for sound image localization. However, to use the non-individual HRTF can cause confusion in perception of the directions of the source and a degrading the moving sound effects due to each listener's unique characteristics. In this paper we propose a new HRTF method, which will generate a 3D-sound by grouping and averaging the HRTFs existing in the vicinity of the direction to localize. The MOS (Mean Opinion Score) test results show that the proposed method is much better than the conventional methods in both sound localization characteristics and moving sound effects.
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