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

Ormaechea Grijalba Lucía; Johanna Gerlach; Didier Schwab; Pierrette Bouillon; Benjamin Lecouteux

Rapport

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

Ormaechea Grijalba Lucía ^{1, 2} Johanna Gerlach ³ Didier Schwab ^{2, 1} Pierrette Bouillon ³ Benjamin Lecouteux ^{1, 2}

1 GETALP [2020-....] - Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole [2020-....]

LIG [2020-....] - Laboratoire d'Informatique de Grenoble [2020-....]

2 LIG [2020-....] - Laboratoire d'Informatique de Grenoble [2020-....]

3 Département de linguistique, Faculté des lettres, Université de Genève

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.

Keywords : Additional Key Words and Phrases: Automatic Speech Recognition Pictogram Transcription BabelDr

Type de document :

Rapport

Domaine :

Informatique [cs] / Informatique et langage [cs.CL]

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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