A real-time system for audio source localization with cheap sensor device

We propose an architecture for real-time audio source localization based on the integration of localization methodologies within a framework that employs a cheap acquisition sensor. The architecture that we present takes as input the audio signals from two calibrated microphones. Then, it computes biological-inspired features of the sound signal and estimates its direction by means of a Gaussian Mixture Model estimator. We carried out an extensive experimental analysis on four data sets, one of which we realized and made publicly available. We evaluated several characteristics of the sound localization architecture and its use in real scenarios