Objetivo When one considers human performance as our target, universal automatic recognition of speech is far from a solved problem. This seems to be related by a large amount to feature extraction, modelling and adaptability weaknesses, as discussed in recognized publications. Strikingly, these weaknesses remain fully in the case of clean speech in known conditions, emphasizing deficiencies in dealing with intrinsic speech variabilities and extracting information form the signal itself. This has however been partly hidden by the more pressing problem of making state-of-the-art systems usable in real noisy situations, under constrained tasks, with the implicit target of reaching "clean speech" performance, with deserved success.The goal of DIVINES is to develop some new knowledge towards renewed feature extraction and modelling techniques that would have better capacities, particularly in handling speech intrinsic variabilities. First, human and machine performance and the effect of intrinsic variabilities will be compared based on a diagnostic procedure. The outcomes of this analysis will then be exploited to target feature extraction, acoustic and lexical modelling. Compatibility with techniques dealing with noise and integration within current systems are also part of the objectives.The project is relevant to the "multimodal interfaces" objective as it concerns more accurate and adaptable recognition of spoken language. This is central to the concept of multimodal man-machine interaction where the speech understanding service is likely to remain an independent component in a modular design. Advances in this field could be decisive in realizing the vision of natural interactivity. Programa(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Tema(s) IST-2002-2.3.1.6 - Multimodal interfaces Convocatoria de propuestas Data not available Régimen de financiación STREP - Specific Targeted Research Project Coordinador MULTITEL Aportación de la UE Sin datos Dirección PARC INITIALIS, COPERNIC AVENUE 1 7000 MONS Bélgica Ver en el mapa Coste total Sin datos Participantes (8) Ordenar alfabéticamente Ordenar por aportación de la UE Ampliar todo Contraer todo BABEL TECHNOLOGIES S.A. Bélgica Aportación de la UE Sin datos Dirección BOULEVARD DOLEZ 33 7000 MONS Ver en el mapa Coste total Sin datos CARL VON OSSIETZKY UNIVERSITAET OLDENBURG Alemania Aportación de la UE Sin datos Dirección AMMERLAENDER HEERSTRASSE 114-118 26129 OLDENBURG Ver en el mapa Coste total Sin datos FRANCE TELECOM SA Francia Aportación de la UE Sin datos Dirección PLACE D'ALLERAY 6 75015 PARIS Ver en el mapa Coste total Sin datos INSTITUT EURECOM Francia Aportación de la UE Sin datos Dirección 2229 ROUTE DES CRETES - SOPHIA ANTIPOLIS 06560 VALBONNE Ver en el mapa Coste total Sin datos LOQUENDO SPA Italia Aportación de la UE Sin datos Dirección VIA VALDELLATORRE 4 10100 TORINO Ver en el mapa Coste total Sin datos POLITECNICO DI TORINO Italia Aportación de la UE Sin datos Dirección CORSO DUCA DEGLI ABRUZZI 24 10129 TORINO Ver en el mapa Coste total Sin datos THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING (MCGILL UNIVERSITY) Canadá Aportación de la UE Sin datos Dirección JAMES ADMINISTRATION BUILDING, 845 SHERBROOKE ST. WEST H3A 2T5 MONTREAL (QC) Ver en el mapa Coste total Sin datos UNIVERSITE D'AVIGNON ET DU PAYS-VAUCLUSE Francia Aportación de la UE Sin datos Dirección RUE LOUIS PASTEUR 74 84029 AVIGNON Ver en el mapa Coste total Sin datos