A statistical method of evaluating pronunciation proficiency for presentation in English
نویسندگان
چکیده
In this paper, we propose a statistical method of evaluating the pronunciation proficiency for presentation in English. We statistically analyze the utterances to find a combination that has a high correlation between an English teacher’s score and some acoustic features. We found that ratio of the likelihoods of free phoneme recognition by using native English HMMs and nonnative English HMMs was the best measure of pronunciation proficiency. The combination of likelihood ratio between native English HMMs and non-native English HMMs (concatenation of correct phone HMMs ), likelihood ratio between native English HMMs and non-native English HMMs (phoneme recognition ), phoneme recognition rate (correct rate) and word recognition rate (correct rate) are highly related to the English teacher’s score. We obtained a correlation coefficient of 0.781 with closed data and 0.743 with open data for speaker at sentence level, respectively. The coefficient was near the correlation between human’s scores; 0.691‘0.791.
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