Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection

This contribution presents a robust approach to acoustic event source localization for surveillance under reverberant environmental conditions. In particular, we support the classical generalized cross-correlation algorithm with phase transform weighting (GCC-PHAT) and the steered response power (SRP) algorithm by a sound activity detection and an event onset detector. The proposed algorithmic framework including spatial minimum tracking and smoothing for the suppression of artifacts in the spatial likelihood function significantly outperforms a respective reference approach, decreasing both the miss ratio by up to 9% absolute, and the average angular estimation error by up to 4°.