Data-Driven Approach to Pronunciation Error Detection for Computer Assisted Language Teaching
Min-Siong Liang, Zien-Yong Hong, Ren-Yuan Lyu, Yuang-Chin Chiang · 2007
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.