Wave Domain Sound Field Interpolation Using Two Spherical Microphone Arrays

Xiaoli Tang, Jihui Zhang, David Lou Alon, Zamir Ben-Hur, Prasanga Samarasinghe, Thushara Abhayapala

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

3 Scopus citations


The demand for reproducing real and immersive auditory experiences has increased since the rise of virtual reality (VR). Various types of microphone arrays, along with processing and rendering approaches, are used to capture the true sound field in order to achieve this goal. However, auditory information is often limited to the location of the recording device and does not support expanded reproduction regions. One way to treat this is to interpolate the sound field using recordings from multiple microphone arrays. In this paper, we propose a sound field interpolation approach based on plane-wave expansion in the spherical harmonic domain. The proposed method employs the l1 norm to optimally map the true sound field onto a set of virtual plane waves. Evaluation of the reproduction error and a comparison with the error obtained when employing the l2 norm and a single microphone array with the plane-wave method, suggest that the proposed method provides higher reproduction accuracy over a larger region of interest.

Original languageEnglish
Title of host publication30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Number of pages5
ISBN (Electronic)9789082797091
StatePublished - 1 Jan 2022
Externally publishedYes
Event30th European Signal Processing Conference, EUSIPCO 2022 - Belgrade, Serbia
Duration: 29 Aug 20222 Sep 2022

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference30th European Signal Processing Conference, EUSIPCO 2022


  • Sound field interpolation/reproduction
  • augmented reality (AR)
  • plane-wave expansion
  • spherical microphone array (SMA)
  • virtual reality (VR)

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering


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