TY - GEN
T1 - Statistical method to identify key anthropometric parameters in hrtf individualization
AU - Zhang, M.
AU - Kennedy, R. A.
AU - Abhayapala, T. D.
AU - Zhang, W.
PY - 2011
Y1 - 2011
N2 - This paper identifies the main anthropometric parameters which strongly influence the head-related transfer functions (HRTFs) in a direct physical way using statistical analysis on HRTF measured data. Principle component analysis is separately performed on the head-related impulse responses of all subjects at each direction for each ear to extract the individual information. Then the individual information, along with all anthropometric parameters, is introduced in the multiple linear regression analysis, where F statistic and t statistic are used to characterize the key parameters having strong direct physical effect on the HRTFs. Ultimately, combining with the results of the analysis of the inter-parameter correlations, only eight anthropometric parameters out of 27 are identified as the crucial elements in the role of spatial localization, which provides a guide for efficient HRTF individualization using key anthropometric parameters.
AB - This paper identifies the main anthropometric parameters which strongly influence the head-related transfer functions (HRTFs) in a direct physical way using statistical analysis on HRTF measured data. Principle component analysis is separately performed on the head-related impulse responses of all subjects at each direction for each ear to extract the individual information. Then the individual information, along with all anthropometric parameters, is introduced in the multiple linear regression analysis, where F statistic and t statistic are used to characterize the key parameters having strong direct physical effect on the HRTFs. Ultimately, combining with the results of the analysis of the inter-parameter correlations, only eight anthropometric parameters out of 27 are identified as the crucial elements in the role of spatial localization, which provides a guide for efficient HRTF individualization using key anthropometric parameters.
KW - Anthropometric Parameters
KW - HRTF
KW - Multiple Linear Regression Analysis
KW - PCA
UR - http://www.scopus.com/inward/record.url?scp=79961148155&partnerID=8YFLogxK
U2 - 10.1109/HSCMA.2011.5942401
DO - 10.1109/HSCMA.2011.5942401
M3 - Conference contribution
SN - 9781457709999
T3 - 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
SP - 213
EP - 218
BT - 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
T2 - 2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
Y2 - 30 May 2011 through 1 June 2011
ER -