A neuromorphic sound localisation system is proposed. It employs two microphones and a pair of silicon cochleae with address event interface for front-end processing. This allows subsequent processing to be implemented with spike-based algorithms. The system is adaptive and supports online learning. Its localisation capability was tested with white noise and pure tone stimuli, with an average error of around 3° in the −45° to 45° range.
['André van Schaik', 'V. Chan', 'Craig Jin']
Sound localisation with a silicon cochlea pair