Grammar-Supervised End-to-End Speech Recognition with Part-of-Speech Tagging and Dependency Parsing
For most automatic speech recognition systems, many unacceptable hypothesis errors still make the recognition results absurd and difficult to understand.In this paper, we introduce the grammar information to improve the performance of the grammatical deviation distance and increase the readability of the hypothesis.The reinforcement of word embeddi