Accéder directement au contenu Accéder directement à la navigation
Rapport

Building and enhancement of an ASR system for emergency medical settings: towards a better accessibility for allophone and disabled patients

Abstract : In this article we aim to present the adaptation of an automatic speech recognition system for specific and robust applications related to the fields of medicine and disability. It constitutes the first step towards the building of an open source system designed to automatically translate speech into pictograms for allophone speakers or people having cognitive disorders in emergency medical settings. Due to the criticality of an adequate speech recognition in such contexts, we decided to rely on formal grammars representing the natural language used. Some preliminary experiments are displayed in order to evaluate its use in real-life situations.
Type de document :
Rapport
Liste complète des métadonnées

Littérature citée [20 références]  Voir  Masquer  Télécharger

https://hal.univ-grenoble-alpes.fr/hal-02896653
Contributeur : Benjamin Lecouteux <>
Soumis le : vendredi 10 juillet 2020 - 16:39:59
Dernière modification le : mercredi 26 août 2020 - 03:26:03

Fichier

ASSETS_BabelDR.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-02896653, version 1

Collections

LIG | UGA | CNRS | LARA

Citation

Ormaechea Grijalba Lucía, Johanna Gerlach, Didier Schwab, Pierrette Bouillon, Benjamin Lecouteux. Building and enhancement of an ASR system for emergency medical settings: towards a better accessibility for allophone and disabled patients. [Research Report] LIG (Laboratoire informatique de Grenoble). 2020. ⟨hal-02896653⟩

Partager

Métriques

Consultations de la notice

25

Téléchargements de fichiers

37