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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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Monaural Sound Localization Based on Reflective Structure and Homomorphic Deconvolution.

Yeonseok Park1, Anthony Choi2, Keonwook Kim3

  • 1Division of Electronics & Electrical Engineering, Dongguk University-Seoul, Seoul 04620, Korea. dustjrdk@dongguk.edu.

Sensors (Basel, Switzerland)
|September 27, 2017
PubMed
Summary
This summary is machine-generated.

This study presents a novel monaural sound localization system using reflective structures to create directional time delays. The system achieves a 69.1% overall hit rate for accurate sound source detection and localization.

Keywords:
3D printeracoustic reflectionangle of arrivalcepstrumfar-fieldhomomorphic deconvolutionmonaural localizationsingle microphonesound localizationtime delay

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Area of Science:

  • Acoustics
  • Signal Processing
  • Artificial Intelligence

Background:

  • Accurate sound source localization is crucial for various applications, including robotics and augmented reality.
  • Traditional methods often require multiple microphones (stereophonic or multi-channel systems).
  • Monaural (single-microphone) systems offer a more compact and cost-effective solution but face significant localization challenges.

Purpose of the Study:

  • To design and evaluate a monaural sound localization system utilizing reflective structures to induce direction-dependent time delays.
  • To develop a signal processing framework capable of estimating these time delays for accurate sound source positioning.
  • To optimize the physical design of the reflective structure through simulation and 3D printing for enhanced localization performance.

Main Methods:

  • A monaural sound localization system was designed with asymmetric reflective plates around a single microphone.
  • Homomorphic deconvolution was employed to estimate dominant time delays from the received acoustic signals.
  • A two-stage process estimated sound source range and angle based on the derived time delay information.
  • A software toolchain integrated propagation physics and algorithm simulation to optimize the 3D-printed reflective structure.

Main Results:

  • The system demonstrated effective sound localization by leveraging direction-wise time delays introduced by reflective structures.
  • Acoustic experiments in an anechoic chamber showed a 79.0% detection rate for range data and an 87.5% estimation rate for direction data.
  • The combined hit rate for accurate sound source localization reached 69.1%.

Conclusions:

  • The proposed monaural sound localization system effectively utilizes reflective structures and homomorphic deconvolution for accurate sound source positioning.
  • The design offers a promising approach for compact and efficient sound localization systems.
  • Further optimization of the physical structure and algorithms could lead to even higher localization accuracy.