End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture

End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture

Advanced automatic pronunciation error detection (APED) algorithms are usually based on state-of-the-art automatic speech recognition (ASR) techniques. With the development of deep learning technology, end-to-end ASR technology has gradually matured and achieved positive practical results, which pro...

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Bibliographic Details
Main Authors: Long Zhang, Ziping Zhao, Chunmei Ma, Linlin Shan, Huazhi Sun, Lifen Jiang, Shiwen Deng, Chang Gao
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Sensors
Subjects:
automatic pronunciation error detection
asr
ctc
attention-based
seq2seq model
end-to-end
capt
Online Access:https://www.mdpi.com/1424-8220/20/7/1809

Internet

https://www.mdpi.com/1424-8220/20/7/1809

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