Blind microphone geometry calibration using one reverberant speech event

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

8 Scopus citations

Abstract

A novel approach to calibrate the geometry of microphones using a single sound event is proposed. A variant of the expectation-maximization algorithm is employed to estimate the spatial coherence matrix of the reverberant sound field directly from the microphone signals. By matching the spatial coherence to theoretical models, the pairwise microphone distances are estimated. From this, the overall geometry is computed. Simulations and lab recordings are used to show that the proposed method outperforms a related approach that assumes a perfectly diffused sound field.

Original languageEnglish
Title of host publication2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages131-135
Number of pages5
ISBN (Electronic)9781538616321
DOIs
StatePublished - 7 Dec 2017
Event2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 - New Paltz, United States
Duration: 15 Oct 201718 Oct 2017

Publication series

NameIEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume2017-October

Conference

Conference2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Country/TerritoryUnited States
CityNew Paltz
Period15/10/1718/10/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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