CLASSIC

CLASSIC
Titre :	Computational learning in adaptive systems for spoken conversation
Budget :	4 767 k€
Subventions :	FP7-ICT (3 400 k€)
Sous-programme :	Cognitive Systems, Interaction, Robotics
Type de contrat :	Collaborative project (generic)
Début :	1er mars 2008
Fin :	28 février 2010
Site officiel :	http://www.classic-project.org/
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CLASSIC est l'acronyme du projet européen Computational learning in adaptive systems for spoken conversation, qui a pour référence sur le service CORDIS 216594.

Note : les éléments ci-dessus ont été traduits de la description du projet sur CORDIS.

English description

Note : Les objectifs suivants sont repris de la fiche du projet sur Cordis

Objective

Significant advances in human-computer interaction will require systems which can exhibit truly cognitive behaviour. This is particularly so in spoken dialogue systems (SDS) where, despite wide deployment and significant investment, current systems are still limited in capability and fragile to changes in environment or application.

Recent advances in statistical modelling and machine learning offer the potential for making a significant step forward in SDS. By both exploiting and extending these advances, the CLASSiC project will improve generalization to unexpected situations. By modelling the whole end-to-end system as an integrated statistical process, the CLASSiC project will demonstrate a qualitative leap in the adaptivity, flexibility, robustness, and naturalness of SDS.

The CLASSiC partners will develop a modular processing framework with an explicit representation of uncertainty which connects the various sources of uncertainty (understanding errors, ambiguity, etc) to the constraints to be exploited (task, dialogue, and user contexts). This architecture will support a layered hierarchy of supervised learning and reinforcement learning in order to facilitate mathematically principled optimisation and adaptation techniques. The architecture will be developed in close cooperation with our industrial partner in order to ensure that it provides a practical deployment platform as well as a flexible research test-bed.

The resulting CLASSiC SDS will be able to adapt autonomously both to the needs of different users and to changing operating environments, and to learn through experience. The data-driven methodology will also enable faster and lower-cost system implementation through automatic optimisation. Overall, the project will demonstrate not only a step-change in the capability of practical spoken dialogue systems, it will also mark a significant step forward in the longer term goal of endowing autonomous systems with truly human-like capabilities.

 

Les partenaires du projet

Coordinateur du projet

• Heriot-Watt University - Édimbourg (Royaume-Uni)

Partenaires

• University of Edinburgh - Édimbourg (Royaume-Uni)
• The chancellors, masters and scholars of the University of Cambridge - Cambridge (Royaume-Uni)
• Université de Genève - Genève (Suisse)
• France Télécom SA - Paris (Île-de-France, France)
• École supérieure d'électricité - Metz (Lorraine, France)

Financement

• Coût total du projet : 4 767 314 €
• Subvention de la Commission européenne (programme FP7-ICT) : 3 400 000 €

Dates importantes

• Date de début : 1^er mars 2008
• Date de fin : 28 février 2011

Voir aussi

Liens externes

• Le site officiel du projet
• Le projet sur le site de Supelec Metz