  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.

Audio and Speech Processing;Sound