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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.
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