Interpretability analysis of AV-HuBERT reveals visual-driven clustering of visemes that audio refines, especially for ambiguous cases.
Silence is sweeter than speech: Self-supervised model using silence to store speaker information
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Interpreting the Role of Visemes in Audio-Visual Speech Recognition
Interpretability analysis of AV-HuBERT reveals visual-driven clustering of visemes that audio refines, especially for ambiguous cases.