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Diagnostic and intrinsic variabilities in natural speech

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.

Coordinator

MULTITEL
Address
Parc Initialis, Copernic Avenue 1
7000 Mons
Belgium

Participants (8)

BABEL TECHNOLOGIES S.A.
Belgium
Address
Boulevard Dolez 33
7000 Mons
CARL VON OSSIETZKY UNIVERSITAET OLDENBURG
Germany
Address
Ammerlaender Heerstrasse 114-118
26129 Oldenburg
FRANCE TELECOM SA
France
Address
Place D'alleray 6
75015 Paris
INSTITUT EURECOM
France
Address
2229 Route Des Cretes - Sophia Antipolis
06560 Valbonne
LOQUENDO SPA
Italy
Address
Via Valdellatorre 4
10100 Torino
POLITECNICO DI TORINO
Italy
Address
Corso Duca Degli Abruzzi 24
10129 Torino
THE ROYAL INSTITUTION FOR THE ADVANCEMENT OF LEARNING (MCGILL UNIVERSITY)
Canada
Address
James Administration Building, 845 Sherbrooke St. West
H3A 2T5 Montreal (Qc)
UNIVERSITE D'AVIGNON ET DU PAYS-VAUCLUSE
France
Address
Rue Louis Pasteur 74
84029 Avignon