%0 Journal Article
%T Head-Related Transfer Function Personalization Based on Partial Least Square Regression<br>基于偏最小二乘回归的与头相关传递函数的个人化
%A Hu Hong-mei
%A Zhou Lin
%A Ma Hao
%A Wu Zhen-yang
%A <br>胡红梅
%A 周琳
%A 马浩
%A 吴镇扬
%J 电子与信息学报
%D 2008
%I 
%X 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).
%K Partial least square regression
%K Least square regression
%K Head related transfer function
%K Sound localization experiment<br>偏最小二乘回归
%K 最小二乘回归
%K 与头相关传递函数
%K 声音定位测试
%K 最小
%K 回归
%K 相关
%K 传递函数
%K 非个人化
%K Regression
%K Partial
%K Least
%K Square
%K Based
%K Personalization
%K Squares
%K 定位准确率
%K 主观测试
%K 水平面
%K 感知
%K 均方误差
%K 实际测量
%K 估计
%K 测试结果
%K 声音定位
%K 误差分析
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=AF87170E6FC54EBA00D8C5C6D514DE87&yid=67289AFF6305E306&vid=340AC2BF8E7AB4FD&iid=CA4FD0336C81A37A&sid=E2546871E5B846EF&eid=4C100B7696CE9E24&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=1&reference_num=13