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cs.CL2022★ 2 cited
On the Use of Semantically-Aligned Speech Representations for Spoken Language Understanding
Gaëlle Laperrière, Valentin Pelloin, Mickaël Rouvier +2
In this paper we examine the use of semantically-aligned speech representations for end-to-end spoken language understanding (SLU). We employ the recently-introduced SAMU-XLSR mode…
cs.CL2022
ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks
Valentin Pelloin, Franck Dary, Nicolas Herve +4
We aim at improving spoken language modeling (LM) using very large amount of automatically transcribed speech. We leverage the INA (French National Audiovisual Institute) collectio…