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- W3089779946 abstract "In recent years, speech processing technology has been widely used in the field of auxiliary language learning. It provides an auxiliary learning platform for non-native language learners. This paper develops an objective English accent recognition system to help English learners grasp the rhythm of spoken English. On the basis of RankNet's word stress recognition method, local normalization is added to improve the recognition accuracy of RankNet. We further apply RankNet to sentence recognition. According to the RankNet method, the rhythm characteristics of non-specific people and the quality of vowel phonemes are selected to classify them into the stressed and unstressed, and the accuracy is improved according to the result of prosodic recognition of statements." @default.
- W3089779946 created "2020-10-08" @default.
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- W3089779946 date "2020-10-16" @default.
- W3089779946 modified "2023-09-27" @default.
- W3089779946 title "Design and development of an objective English accent recognition system based on RankNet's word stress recognition method" @default.
- W3089779946 cites W2328985675 @default.
- W3089779946 doi "https://doi.org/10.1145/3419635.3419728" @default.
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