• Corpus ID: 245769552

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

@article{Shi2022LearningAS,
  title={Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction},
  author={Bowen Shi and Wei-Ning Hsu and Kushal Lakhotia and Abdel-rahman Mohamed},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.02184}
}
Video recordings of speech contain correlated audio and visual information, providing a strong signal for speech representation learning from the speaker’s lip movements and the produced sound. We introduce Audio-Visual Hidden Unit BERT (AV-HuBERT), a self-supervised representation learning framework for audio-visual speech, which masks multi-stream video input and predicts automatically discovered and iteratively refined multimodal hidden units. AV-HuBERT learns powerful audio-visual speech… 

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