A hybrid algorithm for selecting head-related transfer function based on similarity of anthropometric structures

作者：Zeng, Xiang-Yang^*; Wang, Shu-Guang; Gao, Li-Ping

来源：Journal of Sound and Vibration, 2010, 329(19): 4093-4106.

DOI：10.1016/j.jsv.2010.03.031

• PRINCIPAL-COMPONENTS-ANALYSIS
• MODELS

As the basic data for virtual auditory technology, head-related transfer HRTF) has many applications in the areas of room acoustic modeling, spatial hearing and multimedia. How to individualize HRTF fast and effectively has become an opening problem at present. Based on the similarity and relativity of anthropometric structures, a hybrid HRTF customization algorithm, which has combined the method of principal component analysis (PCA), multiple linear regression (MLR) and database matching (DM), has been presented in this paper. The HRTFs selected by both the best match and the worst match have been applied into obtaining binaurally auralized sounds, which are then used for subjective listening experiments and the results are compared. For the area in the horizontal plane, the localization results have shown that the selection of HRTFs can enhance the localization accuracy and can also abate the problem of front-back confusion.

• 出版日期2010-9-13
• 单位西北工业大学