Effective Acoustic Energy Sensing Exploitation for Target Sources Localization in Urban Acoustic Scenes
This work addresses source localization in urban acoustic scenes, but it appears incremental as it builds on existing energy-based methods.
The paper tackled the problem of improving accuracy in energy-based source localization methods for urban acoustic scenes by proposing an acoustic energy sensing flow estimation (ESFE) approach, which resulted in significant accuracy improvement and computational complexity reduction.
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.