3D Reflector Localisation and Room Geometry Estimation using a Spherical Microphone Array

Michael James Lovedee-Turner, Damian Thomas Murphy

Research output: Contribution to journalArticlepeer-review

Abstract

The analysis of room impulse responses to localise reflecting surfaces and estimate room ge- ometry is applicable in numerous aspects of acoustics, including source localisation, acoustic simulation, spatial audio, audio forensics, and room acoustic treatment. Geometry inference is an acoustic analysis problem where information about reflections extracted from impulse responses are used to localise reflective boundaries present in an environment, and thus estimate the geometry of the room. This problem however becomes more complex when considering non-convex rooms, as room shape can not be constrained to a subset of possible convex polygons. This paper presents a geometry inference method for localising reflective boundaries and inferring the room’s geometry for convex and non-convex room shapes. The method is tested using simulated room impulse responses for seven scenarios, and real-world room impulse responses measured in a cuboid-shaped room, using a spherical microphone array containing multiple spatially distributed channels capable of capturing both time- and direction-of-arrival. Results show that the general shape of the rooms is inferred for each case, with a higher degree of accuracy for convex shaped rooms. However, inaccuracies gen- erally arise as a result of the complexity of the room being inferred, or inaccurate estimation of time- and direction-of-arrival of reflections.
Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalThe Journal of the Acoustical Society of America
DOIs
Publication statusPublished - 15 Nov 2019

Bibliographical note

© 2019 Acoustical Society of America. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details.

Keywords

  • Spherical microphone arrays
  • reflection detection
  • geometry inference
  • room acoustics

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