Extraction d’informations sémantiques end-to-end à partir du signal audio
Extraction of end-to-end semantic information from an audio signal Supervisor: Sylvain Meignier Co-Supervisor(s) : Antoine Laurent, Nathalie Camelin, Nicolas Dugué Keywords: Speech recognition and understanding, End2End approaches, neural networks, gender Application deadline : 22 May 2020 Context : This thesis is part of the research topics of the Language and Speech Technologies (LST) […]