Project description
Cognitive Systems, Interaction, Robotics
Establish neurodynamical architectures (Reservoir Computing) as viable alternative to statistical methods for speech and handwriting recognition.
The human brain is an unrivalled "engine" for speech processing and language understanding. It integrates a large variety of learning, adaptation, optimization and self-stabilization mechanisms across manydynamically interacting levels of processing. The result of this highly entwined mesh of processes is supreme robustness, efficiency, and versatility. ORGANIC adopts principles of cortical architectureand self-organizing neurodynamics for the design of a new type of cognitive architectures for speech/language tasks.
The neurodynamical models will be grounded in the paradigm of Reservoir Computing is a biologically inspired perspective on how arbitrary computations can be learnt and performed in artificial neural networks which are -- like their biological rolemodels -- large, randomly grown, highly nonlinear and eminently adaptive.
R\\&D activities in Organic will result in
* a much deeper theoretical understanding of how very complex computations, especially those related to language processing, can be robustly and adaptively performed in neurodynamical systems,
* a publicly available ``Engine'' of programming tools which conforms to recent interface standards for parallel neural system simulations, together with a reference collection of large real-life benchmark datasets,
* prototype implementations of large-vocabulary online speech recognizers and handwriting recognition solutions.
The consortium brings together the original pioneers in reservoir computing, leading researchers in cortical architectures for speech and language processing, speech recognition technology and anindustrial partner at the frontier of automated text recognition.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciences computer and information sciences artificial intelligence computational intelligence
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-ICT-2007-3
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Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
28725 Bremen
Germany
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