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Content archived on 2024-04-19

Study of Hidden Markov Models and Neural Networks for Robust Isolated Word Recognition

Objective

The dominant technology is Hidden Markov Models (HMMs) but this has significant limitations, some of which could be alleviated by the judicious use of artificial neural networks (ANNs) or hybrid combinations of both techniques.

Direct comparisons of ANN-based, HMM-based, and hybrid ANN/HMM techniques for speech recognition will be made. The developments will be integrated and validated in the context of a telephone application including speech recognition capabilities.

A number of prototypes have been demonstrated on low cost commodity systems.

The telephone application developed within the project will be the basis for product development by Tedas.

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: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

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.

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

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Funding Scheme

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.

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Coordinator

FACULTÉ POLYTECHNIQUE DE MONS
EU contribution
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Address
Boulevard Dolez, 31
7000 Mons
Belgium

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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

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Participants (4)

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