In this article we present a new framework for auditory processing that combines feature extraction and grouping processes to form what we call audio proto objects. These proto objects combine an arbitrary number of audio features in a compact representation that allows a more precise sound localization and also better interfacing to behavior-control in robotics. We compare our standard sound localization system with the new approach in several scenarios to demonstrate the potential of the new approach.
['Tobias Rodemann', 'Frank Joublin', 'Christian Goerick']
Audio proto objects for improved sound localization