title: Individualized head-related transfer functions based on population grouping.
abstract: A method is proposed to divide a population into different groups for partial individualization of head-related transfer functions (HRTFs). Borrowing the basic idea in sizing system design, factor analysis is used to identify the most representative measurements which are then in a case study used to group the population. The comparison between the group mean HRTFs and the population mean HRTFs shows that the group mean HRTFs could greatly reduce spectral distortion at most sampled positions.
authors.affiliation: Institute of Human Factors and Ergonomics, Department of Industrial Engineering, Tsinghua University, Beijing, People's Republic of China.
authors.forename: Song
authors.initials: S
authors.lastname: Xu
authors.forename: Zhizhong
authors.initials: Z
authors.lastname: Li
authors.forename: Gavriel
authors.initials: G
authors.lastname: Salvendy
mesh_terms: D001307:Auditory Perception; D019416:Head Movements; D006309:Hearing / Q000502:physiology; D006801:Humans; D044382:Population Groups; D011571:Psychoacoustics