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. ©2009 IEEE.
CITATION STYLE
Van Schaik, A., Chan, V., & Jin, C. (2009). Sound localisation with a silicon cochlea pair. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 2197–2200). https://doi.org/10.1109/ICASSP.2009.4960054
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