Grammar-Supervised End-to-End Speech Recognition with Part-of-Speech Tagging and Dependency Parsing

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...

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Bibliographic Details
Main Authors: Genshun Wan, Tingzhi Mao, Jingxuan Zhang, Hang Chen, Jianqing Gao, Zhongfu Ye
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
speech recognition
grammar knowledge
multiple evaluation methodology of grammar
grammatical deviation distance
Online Access:https://www.mdpi.com/2076-3417/13/7/4243

Internet

https://www.mdpi.com/2076-3417/13/7/4243

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