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Updated: Oct 3, 2025

Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention
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Sound Localization and Speech Enhancement Algorithm Based on Dual-Microphone.

Tao Tao1, Hong Zheng1, Jianfeng Yang1

  • 1School of Electronic Information, Wuhan University, Wuhan 430072, China.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a cost-effective dual-microphone algorithm for precise sound localization and robust speech enhancement. The method accurately identifies sound sources and improves speech clarity, outperforming existing approaches.

Keywords:
dual-microphone arraypost-filteringsound localizationspeech enhancementtime delay estimation

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Area of Science:

  • Acoustics
  • Signal Processing
  • Audio Engineering

Background:

  • Traditional microphone arrays for sound localization and speech enhancement can be complex and expensive.
  • There is a need for simplified, cost-effective solutions without compromising performance.

Purpose of the Study:

  • To propose a novel dual-microphone based algorithm for simplified sound localization and speech enhancement.
  • To reduce the complexity and cost associated with microphone array systems.

Main Methods:

  • Sound localization using time delay estimation between dual microphones.
  • 3D acoustic source coordinate calculation via energy difference and controllable beam response power.
  • Speaker signal separation based on acoustic source azimuth and speech signal independent quantity.
  • Speech enhancement using post-Wiener filtering.

Main Results:

  • The dual-microphone sound localization algorithm accurately identifies acoustic source locations.
  • The proposed speech enhancement algorithm demonstrates superior robustness and adaptability compared to the original algorithm.
  • Successful separation and enhancement of speaker signals.

Conclusions:

  • The dual-microphone approach offers a simplified and cost-effective solution for sound localization and speech enhancement.
  • The developed algorithm provides accurate localization and robust speech enhancement capabilities.
  • This method is adaptable and performs better than existing techniques.