Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes

TL;DR

This paper introduces a novel acoustic energy sensing method that leverages signal nonstationarity to enhance source localization accuracy in urban environments, reducing computational complexity.

Contribution

It presents a new ESFE approach that improves localization accuracy and efficiency in urban acoustic scenes compared to existing methods.

Findings

Significant improvement in localization accuracy

Reduced computational complexity

Effective in various urban acoustic scenes

Abstract

This letter proposes a new approach to improve the accuracy of the Energy-based source localization methods in urban acoustic scenes. The proposed acoustic energy sensing flow estimation (ESFE) uses the sensors signal nonstationarity degree to determine the area with highest energy concentration in the scenes. The ESFE is applied to different acoustic scenes and yields to source localization accuracy improvement with computational complexity reduction. The experiments results show that the proposed scheme leads to significant improvement in source localization accuracy.