CLASSiC

Computational Learning in Adaptive Systems for Spoken Conversation

 Coordinatore HERIOT-WATT UNIVERSITY 

 Organization address address: Riccarton, Scott Russell Building
city: Edinburgh
postcode: EH14 4AS

contact info
Titolo: Dr.
Nome: Eva
Cognome: Olszewska-Day
Email: send email
Telefono: -4513160
Fax: -4513280

 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 4˙767˙314 €
 EC contributo 3˙400˙000 €
 Programma FP7-ICT
Specific Programme "Cooperation": Information and communication technologies
 Code Call FP7-ICT-2007-1
 Funding Scheme CP
 Anno di inizio 2008
 Periodo (anno-mese-giorno) 2008-03-01   -   2011-02-28

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    HERIOT-WATT UNIVERSITY

 Organization address address: Riccarton, Scott Russell Building
city: Edinburgh
postcode: EH14 4AS

contact info
Titolo: Dr.
Nome: Eva
Cognome: Olszewska-Day
Email: send email
Telefono: -4513160
Fax: -4513280

UK (Edinburgh) coordinator 0.00
2    ECOLE SUPERIEURE D'ELECTRICITE

 Organization address address: RUE JOLIOT CURIE - PLATEAU DE MOULON
city: GIF SUR YVETTE CEDEX
postcode: 91192

contact info
Titolo: Ms
Nome: Fanny
Cognome: GAGET
Email: send email
Telefono: 33 1 69851251
Fax: 33 1 69851234

FR (GIF SUR YVETTE CEDEX) participant 0.00
3    FRANCE TELECOM SA

 Organization address address: PLACE D ALLERAY
city: PARIS
postcode: 75015

contact info
Titolo: Ms
Nome: Sophie
Cognome: MARTIN
Email: send email
Telefono: 33296052412
Fax: 33296053674

FR (PARIS) participant 0.00
4    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF CAMBRIDGE

 Organization address address: The Old Schools, Trinity Lane
city: CAMBRIDGE
postcode: CB2 1TN

contact info
Titolo: Mrs
Nome: Dawn
Cognome: Barker
Email: send email
Telefono: 441223000000
Fax: 441223000000

UK (CAMBRIDGE) participant 0.00
5    THE UNIVERSITY OF EDINBURGH

 Organization address address: OLD COLLEGE, SOUTH BRIDGE
city: EDINBURGH
postcode: EH8 9YL

contact info
Titolo: Miss
Nome: Angela
Cognome: Noble
Email: send email
Telefono: 441317000000
Fax: 441317000000

UK (EDINBURGH) participant 0.00
6    UNIVERSITE DE GENEVE

 Organization address address: Rue du General Dufour
city: GENEVE 4
postcode: 1211

contact info
Titolo: Dr
Nome: Alex
Cognome: Waehry
Email: send email
Telefono: 41223797560
Fax: +41 22 3791180

CH (GENEVE 4) participant 0.00

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

sds    deployment    learning    truly    significant    uncertainty    capability    architecture    dialogue    human    classic    nnthe    spoken    optimisation    practical    statistical   

 Obiettivo del progetto (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. nnRecent 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.nnThe 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.nnThe 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.

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