Proceedings of the KSPS conference (대한음성학회:학술대회논문집)
- 2004.05a
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- Pages.239-242
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- 2004
Machine scoring method for speech recognizer detection mispronunciation of foreign language
외국어 발화오류 검출 음성인식기를 위한 스코어링 기법
- Kang, Hyo-Won (Department of Information and Communications Engineering, Daejeon Univ.) ;
- Bae, Min-Young (Department of Information and Communications Engineering, Daejeon Univ.) ;
- Lee, Jae-Kang (Department of Japanese Language and Literature, Daejeon Univ.) ;
- Kwon, Chul-Hong (Department of Information and Communications Engineering, Daejeon Univ.)
- Published : 2004.05.06
Abstract
An automatic pronunciation correction system provides users with correction guidelines for each pronunciation error. For this purpose, we propose a speech recognition system which automatically classifies pronunciation errors when Koreans speak a foreign language. In this paper, we also propose machine scoring methods for automatic assessment of pronunciation quality by the speech recognizer. Scores obtained from an expert human listener are used as the reference to evaluate the different machine scores and to provide targets when training some of algorithms. We use a log-likelihood score and a normalized log-likelihood score as machine scoring methods. Experimental results show that the normalized log-likelihood score had higher correlation with human scores than that obtained using the log-likelihood score.
Keywords