Le LPP collabore avec le FNSRS

16 juillet 2021 par Roland Trouville
Fond National Suisse de la Recherche Scientifique
Cécile Fougeron va représenter le LPP dans le projet du Fond National Suisse de la Recherche Scientifique "ChaSpeePro"

Projet « ChaSpeePro. Characterisation of motor speech disorders and processes » financé par le programme Sinergia no CRSII5_202228 / 1 du Fond National Suisse de la Recherche Scientifique (PI: M. Laganaro, U. Genève, resp LPP : C. Fougeron, collaborateurs: F. Assal (HUG), Ina Kodrasi (IDIAP)

 

résumé :

Oral verbal communication represents the main communication channel among humans. In most communication contexts, speakers must speak clearly and accurately in order to be intelligible. Intelligible speech can be disrupted in a variety of conditions of motor speech disorders (MSD). MSD in adults refers to a broad set of altered speech dimensions (articulation, speech rate, voice, prosody) in the course of several neurological diseases, which can dramatically impact patients’ communication. MSDs are due to disruption in the processes transforming a linguistic message into articulated speech, i.e., (a) the retrieval/encoding, contextualization and coordination of speech goals into a speech plan, (b) the preparation of motor programs with detailed neuromuscular specifications, and (c) the execution of these programs. Impairments at these different stages have been associated with different MSDs, with apraxia of speech (AoS) associated with impairments at the first stage, i.e., the planning stage, and dysarthria associated with impairments at the programming or at the execution stage. Nonetheless, defining planning and programming stages, as well as distinguishing impairments at these two levels in terms of speech features and clinical differential diagnosis, is far from being clear-cut.

This proposal builds on the successful outcomes of the Sinergia MoSpeeDi project (2017-2021, https://www.unige.ch/fapse/mospeedi/) led by the same multidisciplinary consortium. Thanks to the complementary expertise in speech and language pathology, psycholinguistics, neurology, phonetics, and speech engineering, we have collected an impressive database of MSD speech, have developed procedures sensitive enough to assess and classify mild and moderate MSD, and have obtained converging experimental evidences for the characterization of processes occurring at the planning and motor programming stages. This knowledge gained from carefully designed experiments and laboratory settings should now be expanded to speech production elicited in a more natural clinical setting. The distinction between speech planning and programming processes should also be further tackled to overcome the difficulty in defining and operationalizing processes at these two stages.

With the overarching goal of understanding and modelling speech planning and programming and their related disorders, we will pursue our synergic approach based on the integration of methods and on the convergence of evidence obtained with experimentally induced speech behaviours, electrophysiological brain signals, and acoustic analyses of typical and impaired speech. Based on the results and expertise developed in the ongoing project to pinpoint speech planning and programming and to classify speakers and speech samples, in this project we propose to (a) develop assessment and classification methods applicable to realistic clinical constraints and needs, (b) build on the convergence of phonetic knowledge- based approaches and data-driven approaches, (c) enrich our set of acoustic descriptors in order to capture alterations at different scales of speech organization, and (d) complement acoustic-based characterization of speech planning, programming, and MSD classification with electroencephalographic signals.

The outcomes of the project will rely on substantial data of disordered speech collected from over 180 French speaking participants with different types of MSDs including AoS and subtypes of dysarthria following stroke or neurodegenerative diseases. Results will be used to challenge current models of speech production which need to integrate data from MSD and will contribute to the development of speech assessment systems adapted to atypical speech and to the needs of clinical practice.

Voir les sections parentes