Magnitude Least-Squares Based Ambisonics Estimation of Head-Worn Device Microphone Measurements for Binaural Reproduction

Amy Bastine, Lachlan Birnie, Thushara D. Abhayapala, Prasanga Samarasinghe, Vladimir Tourbabin

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

Abstract

Immersive audio experiences in virtual environments rely heavily on accurate Higher-Order Ambisonics (HOAs) estimation and its binaural rendering through Head-worn Devices (HwDs). Addressing the irregular geometry and unknown scattering effects of HwDs, HOA estimation using Wearable-Device-Related Transfer Functions (WDRTFs) was introduced. However, the limited microphone measurements forced the truncation of higher-order WDRTFs which are critical at high frequencies. To alleviate its perceptual impact, this paper proposes a Magnitude Least-Squares (MagLS) based preprocessing of WDRTFs for HOA estimation. A MUSHRA-based listening test showed significant improvement in the binaural signal quality with promising results in comparison to a commercially used spherical microphone array.

Original languageEnglish
Title of host publication2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
Pages474-478
Number of pages5
ISBN (Electronic)9798350361858
DOIs
StatePublished - 1 Jan 2024
Externally publishedYes
Event18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Aalborg, Denmark
Duration: 9 Sep 202412 Sep 2024

Publication series

Name2024 18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024 - Proceedings

Conference

Conference18th International Workshop on Acoustic Signal Enhancement, IWAENC 2024
Country/TerritoryDenmark
CityAalborg
Period9/09/2412/09/24

Keywords

  • ambisonics
  • arbitrary microphone array
  • binaural reproduction
  • Head device
  • virtual reality

ASJC Scopus subject areas

  • Signal Processing
  • Acoustics and Ultrasonics

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