In order to better the current English learning environment and teaching mode so as to improve the efficiency of spoken English learning, the speech recognition technology is applied to the scoring of English pronunciation teaching. It is pointed out that the feature score be divided into three domains, including the pronunciation segment, the hyper articulation segment and the perceptual domain. The speech recognition technology is used to identify the pronunciation features, and the value of recognition accuracy is used to get the fractional value. After calculating and measuring the correlation coefficient, the correlation coefficient between the synthesized machine score by the three domains and expert score is higher than that of the pronunciation segment score, which is also higher than the effect of the synthesized machine score of any two fields. The research shows that the performance of the scoring mechanism is much better than the previous scoring mechanism, suggesting that it is helpful to the evaluation of English pronunciation teaching.

Fanyu Wang, Application of Speech Recognition Technology on the Evaluation of English Pronunciation Teaching. Frontiers in Educational Research (2018) Vol. 1: 10-16. https://doi.org/10.25236/AJETS.030008.

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