Papers with unimodal self-supervised learning

1 papers
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition (2022.acl-long)

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Challenge: Existing methods for audio-visual speech recognition use extra data to increase performance . a recent study shows that the use of unimodal self-supervised learning improves performance on multimodal tasks.
Approach: They propose to use unimodal self-supervised learning to train AVSR models on unlabelled unilateral data.
Outcome: The proposed model improves on lip reading sentences 2 by 30% even without an external language model.

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