2 papers
cs.SD2022
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech Recognition
Xichen Pan, Peiyu Chen, Yichen Gong +3
Training Transformer-based models demands a large amount of data, while obtaining aligned and labelled data in multimodality is rather cost-demanding, especially for audio-visual s…
cs.CL2020
Recurrent Inference in Text Editing
Ning Shi, Ziheng Zeng, Haotian Zhang +1
In neural text editing, prevalent sequence-to-sequence based approaches directly map the unedited text either to the edited text or the editing operations, in which the performance…