Project
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Funded by Engineering and Physical Sciences Research Council.
Total award value £368,481.00
Emeritus Professor, Computing Science
Article
Toward a Neuromorphic Microphone
Smith L (2015) Toward a Neuromorphic Microphone. Frontiers in Neuroscience, 9 (1), Art. No.: 398. https://doi.org/10.3389/fnins.2015.00398
Conference Proceeding
A biologically inspired onset and offset speech segmentation approach
Abel A, Hunter D & Smith L (2015) A biologically inspired onset and offset speech segmentation approach. In: 2015 International Joint Conference on Neural Networks (IJCNN). International Joint Conference on Neural Networks, Killarney, Ireland, 12.07.2015-17.07.2105. Washington DC, USA: IEEE Computer Society. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7280347&tag=1; https://doi.org/10.1109/IJCNN.2015.7280347
Article
A Bio-Realistic Analog CMOS Cochlea Filter With High Tunability and Ultra-Steep Roll-Off
Wang S, Koickal TJ, Hamilton A, Cheung R & Smith L (2015) A Bio-Realistic Analog CMOS Cochlea Filter With High Tunability and Ultra-Steep Roll-Off. IEEE Transactions on Biomedical Circuits and Systems, 9 (3), pp. 297-311. https://doi.org/10.1109/TBCAS.2014.2328321
Article
A neurally-inspired musical instrument classification system based upon the sound onset
Newton M & Smith L (2012) A neurally-inspired musical instrument classification system based upon the sound onset. Journal of the Acoustical Society of America, 131 (6), pp. 4785-4798. https://doi.org/10.1121/1.4707535