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Mispronunciation Detection and Diagnosis for Non-Native Korean Learners Using Iterative Pseudo-Label Refinement Based on Self-Supervised Learning.

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Title: Mispronunciation Detection and Diagnosis for Non-Native Korean Learners Using Iterative Pseudo-Label Refinement Based on Self-Supervised Learning.
Authors: Geng, Na1, Na, Hee-Jung1,2, Won, Jiyu2,3, Kim, Dong-Gyu1,2, Park, Jeong-Sik2,3, parkjs@hufs.ac.kr
Source: Applied Sciences (2076-3417); Mar2026, Vol. 16 Issue 5, p2426, 20p
Database: Applied Science & Technology Source
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Header DbId: aci
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  Data: Mispronunciation Detection and Diagnosis for Non-Native Korean Learners Using Iterative Pseudo-Label Refinement Based on Self-Supervised Learning.
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  Data: <searchLink fieldCode="JN" term="%22Applied+Sciences+%282076-3417%29%22">Applied Sciences (2076-3417)</searchLink>; Mar2026, Vol. 16 Issue 5, p2426, 20p
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        Value: 10.3390/app16052426
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      – Code: eng
        Text: English
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        StartPage: 2426
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      – TitleFull: Mispronunciation Detection and Diagnosis for Non-Native Korean Learners Using Iterative Pseudo-Label Refinement Based on Self-Supervised Learning.
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              Text: Mar2026
              Type: published
              Y: 2026
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