Publication: Real-time speaker identification using the AEREAR2 event-based silicon cochlea
Real-time speaker identification using the AEREAR2 event-based silicon cochlea
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Li, C., Delbruck, T., & Liu, S.-C. (2012). Real-time speaker identification using the AEREAR2 event-based silicon cochlea. Proceedings of the IEEE International Symposium on Circuits and Systems, 1159–1162. https://doi.org/10.1109/ISCAS.2012.6271438
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This paper reports a study on methods for real-time speaker identification using the output from an event-based silicon cochlea. These methods are evaluated based on the amount of computation that needs to be performed and the classification performance in a speaker identification task. It uses the binaural AEREAR2 silicon cochlea, with 64 frequency channels and 512 output neurons. Auditory features representing fading histograms of inter-spike intervals and channel activity distributions are extracted from the cochlea spikes. These f
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- Li, Chenghan
- Liu, Shih-Chii
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Li, C., Delbruck, T., & Liu, S.-C. (2012). Real-time speaker identification using the AEREAR2 event-based silicon cochlea. Proceedings of the IEEE International Symposium on Circuits and Systems, 1159–1162. https://doi.org/10.1109/ISCAS.2012.6271438
