J4

• Original Articles • Previous Articles     Next Articles

Partial least square regression based head-related transfer function personalization

HU Hong-mei1,2;ZHOU Lin1;MA Hao1;WU Zhen-yang1
  

  1. (1. School of Information Science and Engineering, Southeast University, Nanjing 210096, China;
    2. School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-09-20 Published:2007-09-20

Abstract:

A method is proposed to obtain individual head related transfer function (HRTF) based on the partial least square regression (PLSR), in which anthropometric parameters are selected by correlation analysis and the original HRTF data are preprocessed before principal component analysis. Then the objective simulation experiment and subjective sound localization experiment are implemented to evaluate the method. Experiments show that the estimated HRTF has not only a small mean square error, but also little perception difference from the measured one;the localization performance of the individual HRTF estimated by the partial least square regression presented in this paper is more accurate than that of the non-individual HRTF obtained from the database and also more accurate than that estimated via the least square regression (LSR).

Key words: partial least square regression, head related transfer function, sound localization

CLC Number: 

  • TN912