Bayesian Sound Field Estimation Using Moving Microphones

A sound field estimation method using moving microphones is proposed. The sound field is modelled with an infinite sequence of spherical harmonic coefficients for each frequency in the discrete Fourier transform domain, and the harmonic coefficients are estimated using Bayesian inference. The propos...

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Main Authors: Jesper Brunnstrom, Martin Bo moLler, Marc Moonen
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10830478/
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author Jesper Brunnstrom
Martin Bo moLler
Marc Moonen
author_facet Jesper Brunnstrom
Martin Bo moLler
Marc Moonen
author_sort Jesper Brunnstrom
collection DOAJ
description A sound field estimation method using moving microphones is proposed. The sound field is modelled with an infinite sequence of spherical harmonic coefficients for each frequency in the discrete Fourier transform domain, and the harmonic coefficients are estimated using Bayesian inference. The proposed method allows for the use of microphones with arbitrary directivities and moving along any trajectory. It can also be adapted for simultaneous measurement with multiple loudspeakers. The approach avoids truncation of the harmonic coefficients, as well as the specification of an expansion center. The proposed method is evaluated through simulations and compared against other state-of-the-art methods. The proposed method is shown to produce estimates with low error, and can be applied in a wider range of situations compared to other methods.
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spelling doaj.art-d8d9d38c22c24353b2791544e56c55f02025-02-26T00:01:32ZengIEEEIEEE Open Journal of Signal Processing2644-13222025-01-01631232210.1109/OJSP.2025.352654610830478Bayesian Sound Field Estimation Using Moving MicrophonesJesper Brunnstrom0https://orcid.org/0000-0003-2946-1268Martin Bo moLler1https://orcid.org/0000-0002-7323-7266Marc Moonen2https://orcid.org/0000-0003-4461-0073STADIUS Center for Dynamical Systems, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, BelgiumBang & Olufsen, Acoustics R&D, Struer, DenmarkSTADIUS Center for Dynamical Systems, Department of Electrical Engineering (ESAT), KU Leuven, Leuven, BelgiumA sound field estimation method using moving microphones is proposed. The sound field is modelled with an infinite sequence of spherical harmonic coefficients for each frequency in the discrete Fourier transform domain, and the harmonic coefficients are estimated using Bayesian inference. The proposed method allows for the use of microphones with arbitrary directivities and moving along any trajectory. It can also be adapted for simultaneous measurement with multiple loudspeakers. The approach avoids truncation of the harmonic coefficients, as well as the specification of an expansion center. The proposed method is evaluated through simulations and compared against other state-of-the-art methods. The proposed method is shown to produce estimates with low error, and can be applied in a wider range of situations compared to other methods.https://ieeexplore.ieee.org/document/10830478/Sound field estimationmoving microphonespherical harmonicsBayesian inferenceHilbert space
spellingShingle Jesper Brunnstrom
Martin Bo moLler
Marc Moonen
Bayesian Sound Field Estimation Using Moving Microphones
IEEE Open Journal of Signal Processing
Sound field estimation
moving microphone
spherical harmonics
Bayesian inference
Hilbert space
title Bayesian Sound Field Estimation Using Moving Microphones
title_full Bayesian Sound Field Estimation Using Moving Microphones
title_fullStr Bayesian Sound Field Estimation Using Moving Microphones
title_full_unstemmed Bayesian Sound Field Estimation Using Moving Microphones
title_short Bayesian Sound Field Estimation Using Moving Microphones
title_sort bayesian sound field estimation using moving microphones
topic Sound field estimation
moving microphone
spherical harmonics
Bayesian inference
Hilbert space
url https://ieeexplore.ieee.org/document/10830478/
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