Enhanced individualization of head-related impulse response model in horizontal plane based on multiple regression analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

One key issue in modeling head-related impulse responses (HRIRs) is how to individualize HRIRs model so that it is suitable for a listener. The objective of this research is to establish multiple regression models between minimum phase HRIRs and the anthropometric parameters in order to individualize a given listener's HRIRs with his or her own anthropometric parameters. We modeled the entire minimum phase HRIRs in horizontal plane of 37 subjects using principal components analysis (PCA). The individual minimum phase HRIRs can be estimated adequately by a linear combination of ten orthonormal basis functions. We proposed an enhanced individualization method based on multiple regression analysis of weights of basis functions by utilizing eight anthropometric parameters. Our objective simulation's results show that the estimated minimum phase HRIRs have small error and can be perceived similarly as the measured ones. In addition, the subjective localization performance of the estimated HRIRs is improved compared to the measured HRIRs.

Original languageEnglish
Title of host publication2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
Pages226-230
Number of pages5
DOIs
Publication statusPublished - 1 Jun 2010
Event2nd International Conference on Computer Engineering and Applications, ICCEA 2010 - , Indonesia
Duration: 19 Mar 201021 Mar 2010

Publication series

Name2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
Volume2

Conference

Conference2nd International Conference on Computer Engineering and Applications, ICCEA 2010
CountryIndonesia
Period19/03/1021/03/10

Keywords

  • HRIR
  • Individualization of HRIR, HRTF
  • Multiple regression analysis
  • PCA

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    Hugeng, Wahab, W., & Gunawan, D. (2010). Enhanced individualization of head-related impulse response model in horizontal plane based on multiple regression analysis. In 2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010 (pp. 226-230). [5445590] (2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010; Vol. 2). https://doi.org/10.1109/ICCEA.2010.197