Spherical Harmonic Decomposition of a Sound Field Based on Microphones Around the Circumference of a Human Head

Jens Ahrens, Hannes Helmholz, David Lou Alon, Sebastia V.Amengual Gari

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

5 Scopus citations

Abstract

We present a method for decomposing a sound field into spherical harmonics (SH) based on observations of the sound field around the circumference of a human head. The method is based on the analytical solution for observations of the sound field along the equator of a rigid sphere that we presented recently. The present method incorporates a calibration stage in which the microphone signals for sound sources at a suitable set of calibration positions are projected onto the SH decomposition of the same sound field on the surface of a notional rigid sphere by means of a linear filtering operation. The filter coefficients are computed from the calibration data via a least-squares fit. We present an evaluation of the method based on binaural rendering of numerically simulated signals for an array of 18 microphones providing 8th SH order to demonstrate its effectiveness.

Original languageEnglish
Title of host publication2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021
PublisherInstitute of Electrical and Electronics Engineers
Pages231-235
Number of pages5
ISBN (Electronic)9781665448703
DOIs
StatePublished - 1 Jan 2021
Externally publishedYes
Event2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021 - New Paltz, United States
Duration: 17 Oct 202120 Oct 2021

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2021-October
ISSN (Print)1931-1168
ISSN (Electronic)1947-1629

Conference

Conference2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2021
Country/TerritoryUnited States
CityNew Paltz
Period17/10/2120/10/21

Keywords

  • augmented reality
  • Binaural rendering
  • microphone array
  • spherical harmonics

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications

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