Phoneme-Level Visual Speech Recognition via Point-Visual Fusion and Language Model Reconstruction 事件

Phoneme-Level Visual Speech Recognition via Point-Visual Fusion and Language Model Reconstruction arXiv:2507.18863v2 Announce Type: replace Abstract: Visual Automatic Speech Recognition (V-ASR) is a challenging task that involves interpreting spoken language solely from visual information, such as lip movements and facial expressions. This task is notably challenging due to the absence of auditory cues and the visual ambiguity of phonemes that exhibit similar visemes-distinct sounds that appear