KMID : 1022420140060020009
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Phonetics and Speech Sciences 2014 Volume.6 No. 2 p.9 ~ p.20
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Computer-Based Fluency Evaluation of English Speaking Tests for Koreans
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Jang Byeong-Yong
Kwon Oh-Wook
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Abstract
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In this paper, we propose an automatic fluency evaluation algorithm for English speaking tests. In the proposed algorithm,acoustic features are extracted from an input spoken utterance and then fluency score is computed by using support vectorregression (SVR). We estimate the parameters of feature modeling and SVR using the speech signals and the correspondingscores by human raters. From the correlation analysis results, it is shown that speech rate, articulation rate, and mean lengthof runs are best for fluency evaluation. Experimental results show that the correlation between the human score and the SVRscore is 0.87 for 3 speaking tests, which suggests the possibility of the proposed algorithm as a secondary fluency evaluationtool.
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KEYWORD
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speaking fluency, pronunciation, SVR, regression
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