103 citations · 515 across the 26 of their papers we have counts for
3 papers · 1 filter
Improved Regularization Techniques for End-to-End Speech Recognition
Yingbo Zhou, Caiming Xiong, Richard Socher
Regularization is important for end-to-end speech models, since the models are highly flexible and easy to overfit. Data augmentation and dropout has been important for improving e…
Improving End-to-End Speech Recognition with Policy Learning
Yingbo Zhou, Caiming Xiong, Richard Socher
Connectionist temporal classification (CTC) is widely used for maximum likelihood learning in end-to-end speech recognition models. However, there is usually a disparity between th…
Spelling Correction as a Foreign Language
Yingbo Zhou, Utkarsh Porwal, Roberto Konow
In this paper, we reformulated the spell correction problem as a machine translation task under the encoder-decoder framework. This reformulation enabled us to use a single model f…