Detecting Pronunciation Errors in Spoken English Tests Based on Multifeature Fusion Algorithm
In this study, multidimensional feature extraction is performed on the U-language recordings of the test takers, and these features are evaluated separately, with five categories of features: pronunciation, fluency, vocabulary, grammar, and semantics. A deep neural network model is constructed to mo...
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Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/6623885 |