Blind microphone geometry calibration using one reverberant speech event

Ofer Schwartz; Axel Plinge; Emanuel A.P. Habets; Sharon Gannot

doi:10.1109/waspaa.2017.8170009

Blind microphone geometry calibration using one reverberant speech event

Ofer Schwartz, Axel Plinge, Emanuel A.P. Habets, Sharon Gannot

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Bar-Ilan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	131-135
Number of pages	5
ISBN (Electronic)	9781538616321
DOIs	https://doi.org/10.1109/waspaa.2017.8170009
State	Published - 7 Dec 2017
Event	2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 - New Paltz, United States Duration: 15 Oct 2017 → 18 Oct 2017

Publication series

Name	IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Volume	2017-October

Conference

Conference	2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017
Country/Territory	United States
City	New Paltz
Period	15/10/17 → 18/10/17

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Computer Science Applications

Access to Document

10.1109/waspaa.2017.8170009

Cite this

Schwartz, O., Plinge, A., Habets, E. A. P., & Gannot, S. (2017). Blind microphone geometry calibration using one reverberant speech event. In 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 (pp. 131-135). (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; Vol. 2017-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/waspaa.2017.8170009

Schwartz, Ofer ; Plinge, Axel ; Habets, Emanuel A.P. et al. / Blind microphone geometry calibration using one reverberant speech event. 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 131-135 (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

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title = "Blind microphone geometry calibration using one reverberant speech event",

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.",

author = "Ofer Schwartz and Axel Plinge and Habets, {Emanuel A.P.} and Sharon Gannot",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017 ; Conference date: 15-10-2017 Through 18-10-2017",

year = "2017",

month = dec,

day = "7",

doi = "10.1109/waspaa.2017.8170009",

language = "الإنجليزيّة",

series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017",

address = "الولايات المتّحدة",

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Schwartz, O, Plinge, A, Habets, EAP & Gannot, S 2017, Blind microphone geometry calibration using one reverberant speech event. in 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, vol. 2017-October, Institute of Electrical and Electronics Engineers Inc., pp. 131-135, 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017, New Paltz, United States, 15/10/17. https://doi.org/10.1109/waspaa.2017.8170009

Blind microphone geometry calibration using one reverberant speech event. / Schwartz, Ofer; Plinge, Axel; Habets, Emanuel A.P. et al.
2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 131-135 (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Gannot, Sharon

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N2 - 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.

AB - 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.

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M3 - منشور من مؤتمر

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Schwartz O, Plinge A, Habets EAP, Gannot S. Blind microphone geometry calibration using one reverberant speech event. In 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 131-135. (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics). doi: 10.1109/waspaa.2017.8170009

Blind microphone geometry calibration using one reverberant speech event

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All Science Journal Classification (ASJC) codes

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