Objective
The purpose of the proposed research is to investigate 3 basic assumptions that are commonly used in knowledge-based automatic speech recognition (ASR):
(1) the linguistic units to be recognized are distinctive features; (2) the relevant acoustic information for these features is located close to instants of consonantal opening or closure;
(3) the features must be measured in a hierarchical fashion. These assumptions will be investigated by means of two perception experiments in which listeners are presented with gated natural utterances, while they have to guess the upcoming consonant. A first experiment will lead to a description of the distribution of featural information along the time dimension. This description will enable us to reevaluate the first two assumptions. In the second experiment it will be investigated whether providing information on manner-of-articulation features changes the perception of place-of -articulation features. This is achieved through manipulation of the response set that is available to the listener.
Fields of science (EuroSciVoc)
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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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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
LONDON
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.