Work

Towards High-Quality LLM-Based Data for French Spontaneous Speech Simplification: an Exo-Refinement Approach

Year: 2025

Type: conference-paper

Abstract: International audience

Source: Interspeech (USB)

DOI: 10.21437/interspeech.2025-452

Authors: Lucía Ormaechea, Nikos Tsourakis, Pierrette Bouillon, Benjamin Lecouteux, Didier Schwab

Institutions: University of Geneva, Laboratoire d'Informatique de Grenoble, Université Grenoble Alpes

Language: English

Topic: Speech Recognition and Synthesis

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: National Science Foundation, Agence Nationale de la Recherche, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Awards: PRojection du langage Oral vers des unités PICTOgraphiques - PROPICTO, PRojection of the Oral language to PICTOgraphic units

OpenAlex ID: W4415348571

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