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Frequency-Dependent Head-Related Transfer Functions Modeling Approach Based on Spherical Harmonic Expansion FREQUENCY-DEPENDENT HRTF MODELING

  • Beihang University
  • CAS - Institute of Acoustics

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

Abstract

Modeling head-related transfer functions (HRTFs) using spherical harmonics (SHs) expansion is an efficient solution for HRTF-related tasks, such as interpolation and binaural rendering. However, the accurate reconstruction of HRTFs requires a large number of SH coefficients. To model HRTFs for accurate perceptual localization performance with fewer SH expansion coefficients, this study proposes a frequency dependent HRTFs modeling approach by utilizing a higher-order SH expansion for the frequency regions that play more important roles for sound localization. The reconstructed HRTFs are then evaluated by the auditory model, which could predict psychoacoustic measures of localization performance. The experimental results show that the proposed method can achieve better HRTF reconstruction for sound source localization with fewer additional SH coefficients, thus can be further used to simplify the complexity of binaural playback for spatial audio applications.

Original languageEnglish
Title of host publicationICDSP 2022 - 2022 6th International Conference on Digital Signal Processing
PublisherAssociation for Computing Machinery
Pages194-198
Number of pages5
ISBN (Electronic)9781450395809
DOIs
StatePublished - 25 Feb 2022
Event6th International Conference on Digital Signal Processing, ICDSP 2022 - Virtual, Online, China
Duration: 25 Feb 202227 Feb 2022

Publication series

NameACM International Conference Proceeding Series
VolumePar F180471

Conference

Conference6th International Conference on Digital Signal Processing, ICDSP 2022
Country/TerritoryChina
CityVirtual, Online
Period25/02/2227/02/22

Keywords

  • Binaural rendering
  • Head-related transfer function
  • Spectral cues
  • Spherical harmonic expansion

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