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Related Experiment Video

Updated: Apr 4, 2026

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
07:56

An Automated System for Sound Localization Testing in Hearing-Impaired Listeners

Published on: March 13, 2026

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Multiple sound sources localization in free field using acoustic vector sensor.

Józef Kotus1

  • 1Multimedia Systems Department, Gdansk University of Technology, Narutowicza 11-12, 80-233 Gdansk, Poland.

Multimedia Tools and Applications
|September 1, 2015
PubMed
Summary
This summary is machine-generated.

This study demonstrates that a single acoustic vector sensor can localize multiple sound sources. The best localization accuracy was achieved with signals exhibiting distinct spectral energy distributions.

Keywords:
Audio surveillanceSound detectionSound source localization

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Area of Science:

  • Acoustics
  • Signal Processing
  • Array Signal Processing

Background:

  • Accurate localization of multiple sound sources is crucial in various applications, including robotics and surveillance.
  • Traditional methods often require multiple sensors or complex calibration procedures.

Purpose of the Study:

  • To present a method for multiple sound source localization in a free field using a single acoustic vector sensor.
  • To evaluate the accuracy of the developed localization algorithm through laboratory testing.

Main Methods:

  • Direction of Arrival (DOA) estimation using the sound intensity method combined with Fourier analysis.
  • Independent DOA determination for specific frequencies based on obtained spectrum components.
  • Experimental validation using synthetic acoustic signals (pure tones, noises) and real-world sounds with varying energy distributions.

Main Results:

  • The study successfully implemented and tested an algorithm for multiple sound source localization with a single acoustic vector sensor.
  • Localization accuracy was evaluated under laboratory conditions using diverse acoustic signals.
  • The best localization performance was observed for signals with differing energy distributions in both time and frequency domains.

Conclusions:

  • Multiple sound source localization is feasible using a single acoustic vector sensor.
  • The developed method provides a viable approach for acoustic source localization, particularly when signals have distinct spectral characteristics.