Physics-Informed Identification and Interpolation of the Directivity of Sound Sources

The radiation characteristics of sound sources are important, for example, for the simulation and auralization of sound fields or for the design of sound reinforcement systems. They are usually determined by measurements in an anechoic chamber with a discrete grid of microphones on a spherical surface and subsequent interpolation. This manuscript introduces a physically informed method for source directivity identification and interpolation based on source modeling using the adjoint Euler equations in a finite-difference time-domain approach. Synthetic analyses are used to investigate the properties of the method under different parameters: the number of microphones used, the effect of measurement noise and microphone misalignment, off-center source positioning, and the presence of reflecting walls. In addition, the method is applied to a real-world scenario involving the analysis of a musical instrument. The method is found to be a versatile and robust approach to sound source directivity analysis. Its particular strengths are its flexibility in microphone placement, its adaptability to non-centered sound sources, and its ability to account for non-anechoic environments.

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Publication Details

Journal
IEEE Transactions on Audio Speech and Language Processing
Published
2024-12-18
DOI
https://doi.org/10.1109/taslp.2024.3519872
Citations
3
Primary Topic
Speech and Audio Processing
Type
article
Field-Weighted Citation Impact
1.05
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article

Physics-Informed Identification and Interpolation of the Directivity of Sound Sources

Arne Hölter, Mathias Lemke, Stefan Weinzierl
3 citations
IEEE Transactions on Audio Speech and Language Processing
Speech and Audio Processing
1.05
article

Physics-Informed Identification and Interpolation of the Directivity of Sound Sources

Arne Hölter, Mathias Lemke, Stefan Weinzierl
article en
3 citations

Abstract

The radiation characteristics of sound sources are important, for example, for the simulation and auralization of sound fields or for the design of sound reinforcement systems. They are usually determined by measurements in an anechoic chamber with a discrete grid of microphones on a spherical surface and subsequent interpolation. This manuscript introduces a physically informed method for source directivity identification and interpolation based on source modeling using the adjoint Euler equations in a finite-difference time-domain approach. Synthetic analyses are used to investigate the properties of the method under different parameters: the number of microphones used, the effect of measurement noise and microphone misalignment, off-center source positioning, and the presence of reflecting walls. In addition, the method is applied to a real-world scenario involving the analysis of a musical instrument. The method is found to be a versatile and robust approach to sound source directivity analysis. Its particular strengths are its flexibility in microphone placement, its adaptability to non-centered sound sources, and its ability to account for non-anechoic environments.

IEEE Transactions on Audio Speech and Language ProcessingVol. 33
Einstein Center Digital Future (DE), Technische Universität Berlin (DE)
Openalex Percentile: Top 22%
Speech and Audio Processing
1.05
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Physics-Informed Identification and Interpolation of the Directivity of Sound Sources — Arne Hölter, Mathias Lemke, et al. · IEEE Transactions on Audio Speech and Language Processing (2024) | TGRS Research Map | TGRS