Localization and Identification of Persons and Ambient Noise Sources via Acoustic Scene Analysis

There are diverse areas of application for the acoustic scene analysis, consisting of localization and identification of acoustically observable sound sources. In particular, the man-machine interaction in the broadest sense is of peculiar interest. In this paper a method for the passive acoustic localization of sound sources using time difference of arrival (TDOA) estimates in microphone pairs as well as an approach for the classification of ambient noise sources, based on autoregressive (AR) models, are presented. Therewith, classification of individual sound source categories is possible, although their spectral characteristics can vary significantly.