no code implementations • AMTA 2022 • Elise Bertin-Lemée, Guillaume Klein, Josep Crego, Jean Senellart
Despite a narrowed performance gap with direct approaches, cascade solutions, involving automatic speech recognition (ASR) and machine translation (MT) are still largely employed in speech translation (ST).
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • SLTAT (LREC) 2022 • Boris Dauriac, Annelies Braffort, Elise Bertin-Lemée
This article presents an original method for automatic generation of sign language (SL) content by means of the animation of an avatar, with the aim of creating animations that respect as much as possible linguistic constraints while keeping bio-realistic properties.
no code implementations • LREC 2022 • Elise Bertin-Lemée, Annelies Braffort, Camille Challant, Claire Danet, Boris Dauriac, Michael Filhol, Emmanuella Martinod, Jérémie Segouat
These are: news headlines in French, translations of these headlines into LSF in the form of videos showing animations of a virtual signer, gloss annotations of the “traditional” type—although including additional information on the context in which each gestural unit is performed as well as their potential for adaptation to another context—and AZee representations of the videos, i. e. formal expressions capturing the necessary and sufficient linguistic information.
1 code implementation • IWSLT (ACL) 2022 • Jitao Xu, François Buet, Josep Crego, Elise Bertin-Lemée, François Yvon
As the amount of audio-visual content increases, the need to develop automatic captioning and subtitling solutions to match the expectations of a growing international audience appears as the only viable way to boost throughput and lower the related post-production costs.