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Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

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Two-Step 3D Microphone Array Fusion Algorithm to Enhance Sound Source Location Measurements.

Mahya Shahmohammadimehrjardi^1,2, Bruce Wallace^1,2,3, Adrian D C Chan^1,3

¹Systems and Computer Engineering, Carleton University, Ottawa, ON K1S 5B6, Canada.

Sensors (Basel, Switzerland)

|June 26, 2026

Summary

This summary is machine-generated.

This study introduces a new algorithm to improve sound source localization (SSL) accuracy in challenging indoor environments. By filtering unreliable microphone data, the method significantly reduces localization errors, enhancing audio signal processing.

Keywords:

indoor 3D sound source localization microphone arrays smart microphone subset choosing

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Area of Science:

Acoustics and Signal Processing
Computational Auditory Scene Analysis

Background:

Sound source localization (SSL) in 3D indoor reverberant environments is challenging due to Angle-of-Arrival (AoA) variations.
Existing methods struggle with accuracy dependent on source position and microphone array configuration.

Purpose of the Study:

To develop and validate a novel two-step algorithm for microphone array fusion to enhance SSL accuracy.
To generalize the algorithm for arbitrary room geometries and microphone array placements.

Main Methods:

A two-step algorithm excluding low-confidence AoA microphone pairs was proposed.
A generalized version was developed and tested across varied room dimensions and array positions.
Performance was evaluated against conventional AoA estimation methods.

Main Results:

The algorithm significantly improves SSL accuracy by mitigating unreliable AoA estimates.
The generalized algorithm consistently reduces localization error by approximately 50% across diverse scenarios.
Robustness was demonstrated across different room geometries and array placements.

Conclusions:

The proposed algorithm offers a robust and practical solution for enhancing SSL in acoustically challenging environments.
The generalized approach maintains significant error reduction regardless of environmental specifics.
This work provides a valuable improvement over baseline SSL methods.