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Found 7 papers, 1 papers with code
Cued Speech Generation Leveraging a Pre-trained Audiovisual Text-to-Speech Model
This paper presents a novel approach for the automatic generation of Cued Speech (ACSG), a visual communication system used by people with hearing impairment to better elicit the spoken language.
Mediapi-RGB: Enabling Technological Breakthroughs in French Sign Language (LSF) Research through an Extensive Video-Text Corpus
We introduce Mediapi-RGB, a new dataset of French Sign Language (LSF) along with the first LSF-to-French machine translation model.
Ranked #1 on
Sign Language Translation
on Mediapi-RGB
Investigating the dynamics of hand and lips in French Cued Speech using attention mechanisms and CTC-based decoding
Along with the release of this dataset, a benchmark will be reported for word-level recognition, a novelty in the automatic recognition of French CS.
Multistream neural architectures for cued-speech recognition using a pre-trained visual feature extractor and constrained CTC decoding
This paper proposes a simple and effective approach for automatic recognition of Cued Speech (CS), a visual communication tool that helps people with hearing impairment to understand spoken language with the help of hand gestures that can uniquely identify the uttered phonemes in complement to lipreading.
Extraction automatique de contour de l\`evre \`a partir du mod\`ele CLNF (Automatic lip contour extraction using CLNF model)
Dans cet article nous proposons une nouvelle solution pour extraire le contour interne des l{\`e}vres d{'}un locuteur sans utiliser d{'}artifices.
