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| Head-Related Transfer Function Personalization Based on Partial Least Square Regression |
| Hu Hong-mei①②;Zhou Lin①; Ma Hao①; Wu Zhen-yang① |
| ①School of Information Science and Engineering, Southeast University, Nanjing 210096, China; ②School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China |
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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 objective simulation experiment and subjective sound localization experiment are implemented to evaluate the method. The experiments show that the estimated HRTF not only has small mean square error, but also has little perception difference from the measured one；the localization performance of the individual HRTF estimated by PLSR presented in this article is more accurate than that of the non-individual HRTF obtained from the database and also more accurate than that estimated via Least Square Regression (LSR).
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Received: 24 January 2007
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2008, Vol. 30 
