A New Selection Method of Anthropometric Parameters in Individualizing HRIR
Abstract: A trend issue in
modeling head-related impulse responses (HRIRs) is how to individualize HRIRs
models that are convenient for a particular listener. The objective of this
research is to show a robust selection method of eight anthropometric
parameters out of all 27 parameters defined in CIPIC HRTF Database. The
proposed selection method is systematically and scientifically acceptable,
compared to ‘trial and error’ method in selecting the parameters. The selected
anthropometric parameters of a given listener were applied in establishing
multiple linear regression models in order to individualize his / her HRIRs. We
modeled the entire minimum phase HRIRs in horizontal plane of 35 subjects using
principal components analysis (PCA). The individual minimum phase HRIRs can be
estimated adequately by a linear combination of ten orthonormal basis
functions.
Keywords: HRIR modeling, HRIR
individualization, multiple regression analysis, principal components analysis
Author: Hugeng, Wahidin Wahab,
Dadang Gunawan
Journal Code: jptkomputergg150122
