Objective 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. Programme(s) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Topic(s) IST-2002-2.3.1.6 - Multimodal interfaces Call for proposal Data not available Funding Scheme STREP - Specific Targeted Research Project Coordinator MULTITEL Address Parc initialis, copernic avenue 1 7000 Mons Belgium See on map EU contribution No data Participants (8) Sort alphabetically Sort by EU Contribution Expand all Collapse all BABEL TECHNOLOGIES S.A. Belgium EU contribution € 0,00 Address Boulevard dolez 33 7000 Mons See on map Other funding No data CARL VON OSSIETZKY UNIVERSITAET OLDENBURG Germany EU contribution € 0,00 Address Ammerlaender heerstrasse 114-118 26129 Oldenburg See on map Other funding No data FRANCE TELECOM SA France EU contribution € 0,00 Address Place d'alleray 6 75015 Paris See on map Other funding No data INSTITUT EURECOM France EU contribution € 0,00 Address 2229 route des cretes - sophia antipolis 06560 Valbonne See on map Other funding No data LOQUENDO SPA Italy EU contribution € 0,00 Address Via valdellatorre 4 10100 Torino See on map Other funding No data POLITECNICO DI TORINO Italy EU contribution € 0,00 Address Corso duca degli abruzzi 24 10129 Torino See on map Other funding No data THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING (MCGILL UNIVERSITY) Canada EU contribution € 0,00 Address James administration building, 845 sherbrooke st. west H3A 2T5 Montreal (qc) See on map Other funding No data UNIVERSITE D'AVIGNON ET DU PAYS-VAUCLUSE France EU contribution € 0,00 Address Rue louis pasteur 74 84029 Avignon See on map Other funding No data
