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This paper presents two new ideas for text dependent mispronunciation detection. Firstly, mispronunciation detection is formulated as a classification problem to integrate various predictive features. A Support Vector Machine (SVM) is used as the classifier and the log-likelihood ratios between all the acoustic models and the model corresponding to the given text are employed as features for the classifier...
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