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Weakly-supervised word-level pronunciation error detection in non-native English speech
To train this model, phonetically transcribed L2 speech is not required and we only need to mark mispronounced words.
Mispronunciation Detection in Non-native (L2) English with Uncertainty Modeling
A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker.
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