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An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
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Robust acoustic source localization based on modal beamforming and time-frequency processing using circular

Ana M Torres1, Maximo Cobos, Basilio Pueo

  • 1I.E.E.A.C. Department, Universidad Castilla-La Mancha, 16071, Cuenca, Spain. ana.torres@uclm.es

The Journal of the Acoustical Society of America
|September 18, 2012
PubMed
Summary
This summary is machine-generated.

This study presents a novel framework for acoustic source localization using circular harmonics beamforming and time-frequency processing. The method accurately locates multiple speech sources even in challenging acoustic environments.

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Area of Science:

  • Signal Processing
  • Acoustics
  • Array Signal Processing

Background:

  • Uniform circular array processing is effective for 360° acoustic source localization.
  • Beamforming methods using circular harmonics are a focus in modal array signal processing.
  • Time-frequency (T-F) domain methods offer high accuracy for localizing multiple simultaneous sources due to speech sparsity.

Purpose of the Study:

  • To develop a robust localization framework combining circular harmonics beamforming and T-F processing.
  • To achieve accurate direction-of-arrival estimation for multiple concurrent speech sources.
  • To evaluate performance under adverse acoustic conditions.

Main Methods:

  • Jointly applying modal processing (circular harmonics) and sparsity-based localization.
  • Utilizing time-frequency domain analysis for enhanced source separation and localization.
  • Implementing a framework for broadband acoustic source localization.

Main Results:

  • The proposed framework demonstrates accurate localization performance in adverse acoustic conditions.
  • Experimental results in real and simulated environments validate the approach.
  • The method effectively estimates the direction-of-arrival for multiple concurrent speech sources.

Conclusions:

  • The integrated approach of modal processing and sparsity-based T-F localization offers superior performance.
  • This framework provides a significant advancement for multi-source acoustic localization.
  • The study validates the proposed method against state-of-the-art techniques.