Sequence-Level Consistency Training For Semi-Supervised End-To-End Automatic Speech Recognition

This paper presents a novel semi-supervised end-to-end automatic speech recognition (ASR) method that employs consistency training with the use of unlabeled data. In consistency training, unlabeled data can be utilized for constraining a model such that i
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