This paper describes an approach to pronunciation error detection for Computer-Assisted Pronunciation Teaching (CAPT). We focus on how to find the real pronunciation of the user. The data-driven based method was used to generate pronunciation errors hypotheses instead of knowledge-based method. In the experiment results, the error rate of pronunciation detection can achieve 10.56%. Finally, we applied this technique into our CAPT system.
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