Obiettivo 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. Programma(i) FP6-IST - Information Society Technologies: thematic priority under the specific programme "Integrating and strengthening the European research area" (2002-2006). Argomento(i) IST-2002-2.3.1.6 - Multimodal interfaces Invito a presentare proposte Data not available Meccanismo di finanziamento STREP - Specific Targeted Research Project Coordinatore MULTITEL Contributo UE Nessun dato Indirizzo PARC INITIALIS, COPERNIC AVENUE 1 7000 MONS Belgio Mostra sulla mappa Costo totale Nessun dato Partecipanti (8) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto BABEL TECHNOLOGIES S.A. Belgio Contributo UE Nessun dato Indirizzo BOULEVARD DOLEZ 33 7000 MONS Mostra sulla mappa Costo totale Nessun dato CARL VON OSSIETZKY UNIVERSITAET OLDENBURG Germania Contributo UE Nessun dato Indirizzo AMMERLAENDER HEERSTRASSE 114-118 26129 OLDENBURG Mostra sulla mappa Costo totale Nessun dato FRANCE TELECOM SA Francia Contributo UE Nessun dato Indirizzo PLACE D'ALLERAY 6 75015 PARIS Mostra sulla mappa Costo totale Nessun dato INSTITUT EURECOM Francia Contributo UE Nessun dato Indirizzo 2229 ROUTE DES CRETES - SOPHIA ANTIPOLIS 06560 VALBONNE Mostra sulla mappa Costo totale Nessun dato LOQUENDO SPA Italia Contributo UE Nessun dato Indirizzo VIA VALDELLATORRE 4 10100 TORINO Mostra sulla mappa Costo totale Nessun dato POLITECNICO DI TORINO Italia Contributo UE Nessun dato Indirizzo CORSO DUCA DEGLI ABRUZZI 24 10129 TORINO Mostra sulla mappa Costo totale Nessun dato THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING (MCGILL UNIVERSITY) Canada Contributo UE Nessun dato Indirizzo JAMES ADMINISTRATION BUILDING, 845 SHERBROOKE ST. WEST H3A 2T5 MONTREAL (QC) Mostra sulla mappa Costo totale Nessun dato UNIVERSITE D'AVIGNON ET DU PAYS-VAUCLUSE Francia Contributo UE Nessun dato Indirizzo RUE LOUIS PASTEUR 74 84029 AVIGNON Mostra sulla mappa Costo totale Nessun dato
