Statistical method to identify key anthropometric parameters in hrtf individualization

M. Zhang*, R. A. Kennedy, T. D. Abhayapala, W. Zhang

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    27 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Title of host publication2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
    Pages213-218
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11 - Edinburgh, United Kingdom
    Duration: 30 May 20111 Jun 2011

    Publication series

    Name2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11

    Conference

    Conference2011 Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA'11
    Country/TerritoryUnited Kingdom
    CityEdinburgh
    Period30/05/111/06/11

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