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Content archived on 2024-06-25

Human Input that Works In Real Environments

Objective

Despite good progress over the last few decades, speech recognition technology is still not sufficiently reliable for use in many real-world applications. The HIWIRE project aims to make significant improvements to the robustness, naturalness, and flexibility of vocal interaction between humans and 'machines'. The industrial partners involved in the project expect that the technological breakthrough targeted in this project will impact their future activities by:
- enabling the introduction of vocal dialogue with equipment in commercial aircraft cockpits;
- improving the potential for vocal interaction with PDAs and other mobile devices in aeronautic application environments.

It is intended that the HIWIRE project will go well beyond the current state-of-the-art for robust vocal dialogue involving large flexible vocabularies, by focusing on two main targets: improved robustness against the environment (mostly unpredictable noises like those encountered in cockpits with dense audio traffic or factory noise?) and improved tolerance to user behaviour (including speakers' vocal individuality, different accents, non-native speech, dialogue skills).
In order to guarantee common progress toward these two targets, integration nodes have been included in the project work plan (milestones M2 and M3), where the convergence toward all objectives will be verified. At these milestones, the performance will be evaluated on standard databases (for benchmarking) or on specifically collected ones for more specific issues (such as non-native speech) dialogue.

The project includes five milestones:
- M1 m10 Completion of baseline experiments on robustness;
- M2 m21 Completion of phase1 experiments on robustness;
- M3 m24 Completion of the integration of a first version of the advanced spoken dialogue system into the application platforms;
- M4 m33 Completion of phase2 experiments on robustness;
- M5 m33 Completion of evaluation on platforms.

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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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.

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.

STREP - Specific Targeted Research Project

Coordinator

THALES AVIONICS SA
EU contribution
No data
Address
rue Toussaint Catros
33187 Le Haillan
France

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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 (7)

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