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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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3D Multiple Sound Source Localization by Proposed T-Shaped Circular Distributed Microphone Arrays in Combination with

Ali Dehghan Firoozabadi1, Pablo Irarrazaval2,3,4, Pablo Adasme5

  • 1Department of Electricity, Universidad Tecnológica Metropolitana, Av. José Pedro Alessandri 1242, Santiago 7800002, Chile.

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|February 15, 2022
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Summary
This summary is machine-generated.

This study introduces a novel T-shaped circular distributed microphone array (TCDMA) for 3D multiple simultaneous sound source localization (SSL). The TCDMA-AGGPM method achieves high accuracy with low computational complexity in noisy environments.

Keywords:
direction of arrival estimationeigenvalue decompositiongeneralized cross-correlationmicrophone arrayssound source localizationtime delay estimation

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Area of Science:

  • Acoustics and Signal Processing
  • Computational Auditory Scene Analysis

Background:

  • Multiple simultaneous sound source localization (SSL) is crucial for speech processing applications.
  • Existing methods offer either low computational complexity with low accuracy or high accuracy with high complexity.
  • There is a need for efficient and accurate 3D multiple SSL techniques.

Purpose of the Study:

  • To propose a novel algorithm and microphone array for 3D multiple simultaneous sound source localization.
  • To combine the advantages of one-step (GEVD) and two-step (GCC-PHAT/ML) methods for improved SSL performance.
  • To evaluate the proposed method's accuracy and computational efficiency in challenging acoustic conditions.

Main Methods:

  • A T-shaped circular distributed microphone array (TCDMA) was designed.
  • A hybrid algorithm, TCDMA-AGGPM, combining generalized eigenvalue decomposition (GEVD) and adaptive generalized cross-correlation (GCC) with phase transform/maximum likelihood (PHAT/ML) filters was developed.
  • The method utilizes distributed microphone arrays to mitigate spatial aliasing.

Main Results:

  • The proposed TCDMA-AGGPM method demonstrated superior performance compared to existing methods like HiGRID, SH-TMSBL, SF-MCA, and TF-MW-BNP-AHB.
  • The method achieved high accuracy in 3D multiple simultaneous SSL.
  • The TCDMA-AGGPM method exhibited low computational complexity.

Conclusions:

  • The TCDMA-AGGPM method offers a significant advancement in 3D multiple simultaneous sound source localization.
  • The proposed approach effectively balances accuracy and computational efficiency.
  • This method is suitable for real-world applications requiring precise sound source identification in complex environments.