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Project
ORGANIC: Self-organized recurrent neural learing for language processing (ORGANIC)
ORGANICE adopts principles of cortical architectures and self-organizing neurodynamics for the design of a new type of cognitive architectures. The principle inovations are deep multilevel learning based on recurrent networks using purely dynamic representations and trained both supervised and unsupervised. These techniques will be applied to large vocabulary speech recognition in noisy environments, end on handwriting recognition.
Date:1 Apr 2009 → 31 Mar 2012
Keywords:recurrent neural network, reservoir computing, speech recognition, handwriting recognition
Disciplines:Analogue and digital signal processing, Other computer engineering, information technology and mathematical engineering not elsewhere classified, Visual computing, Input, output and data devices, Computer architecture and networks, Other information and computing sciences, Information systems, Programming languages, Theoretical computer science, Computer architecture and organisation, Applied mathematics in specific fields, Distributed computing, Information sciences, Scientific computing, Arithmetic and logic structures