Objective
ViSiCAST will develop and evaluate Virtual Humans generating European deaf sign languages. ViSiCAST builds on SignAnim, which received two UK Royal Television Society awards for technical innovation in 1998. An English language analysis or speech recognition system drives a virtual human using data captured directly from human signers. SignAnim demonstrated that a virtual human is a valid alternative to video and could run semi-automatically. ViSiCAST will extend this work in three areas:
(1) In television. Sub-titles help hard-of-hearing people who can read easily. The virtual signer will improve access for those who sign as a first language.
(2) For Web and multi-media. Improved control over signed multi-media generation and delivery will increase the independence of deaf people using the Internet for communication and learning.
(3) In face-to-face transactions. It will improve communication between a deaf customer and a service provider.
DESCRIPTION OF WORK
A key result in the first year will be a live signing system for television using a virtual human according to a new standard transmission format, trials of face-to-face communication with deaf subjects and initial web-based tools. In the second year the project will deliver an ambitious prototype text-to-signing tool and an avatar driven from HamNoSys. Key third year results include a face-to-face dialogue system, and a semi-automatic translator from text to signing implemented within a web browser. A key result in year 1 will be live a signing system for TV using a virtual human according to a new standard transmission format, trials of face-to-face communication with deaf subjects and initial web-based tools. Year 2 will deliver an ambitious prototype text-to-signing tool and an avatar driven from HamNoSys. Key year 3 results include a face-to-face dialogue system, a semi-automatic translator from text to signing implemented within a web browser.
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.
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.
- humanities languages and literature general language studies
- natural sciences computer and information sciences internet
- humanities languages and literature linguistics sign language
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Programme(s)
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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.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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
SO23 7QA WINCHESTER
United Kingdom
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.