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Fill in the Gap! Combining Self-supervised Representation Learning with Neural Audio Synthesis for Speech Inpainting
In the present study, we investigate the use of a speech SSL model for speech inpainting, that is reconstructing a missing portion of a speech signal from its surrounding context, i. e., fulfilling a downstream task that is very similar to the pretext task.
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.
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