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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

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Model-based Bayesian direction of arrival analysis for sound sources using a spherical microphone array.

Christopher R Landschoot¹, Ning Xiang¹

¹Graduate Program in Architectural Acoustics, School of Architecure, Rensselaer Polytechnic Institute, Troy, New York 12180, USA.

The Journal of the Acoustical Society of America

|January 3, 2020

Summary

This summary is machine-generated.

This study uses probabilistic beamforming with spherical microphone arrays to accurately determine the directions of arrival (DoAs) of multiple sound sources. The method reliably estimates the number and location of concurrent sound sources in noisy environments.

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Area of Science:

Acoustics
Signal Processing
Statistical Inference

Background:

Determining sound source directions of arrival (DoAs) is crucial for room acoustics and noise control.
Existing methods face challenges with multiple concurrent sound sources and complex noise environments.

Purpose of the Study:

To develop a reliable method for estimating the number and DoAs of multiple concurrent sound sources.
To address the challenges in accurately identifying directional information in noisy acoustic environments.

Main Methods:

Utilizes a probabilistic, model-based Bayesian analysis approach.
Employs a spherical microphone array for spatial filtering (beamforming) of sound data.
Generates and evaluates analytic models representing different numbers and locations of sound sources.

Main Results:

The Bayesian analysis successfully estimates the number of sound sources.
Directional information (DoAs) is extracted from the most concise model fitting the experimental data.
Preliminary results demonstrate potential for complex noise environments.

Conclusions:

Model-based Bayesian analysis offers a robust solution for multi-source DoA estimation.
The proposed method shows promise for applications in challenging acoustic scenarios.
Accurate source localization is achievable even with overlapping sound signals.