Scoring Methods for Improvement of Speech Recognizer Detecting Mispronunciation of Foreign Language

외국어 발화오류 검출 음성인식기의 성능 개선을 위한 스코어링 기법

An automatic pronunciation correction system provides learners with correction guidelines for each mispronunciation. For this purpose we develope a speech recognizer which automatically classifies pronunciation errors when Koreans speak a foreign language. In order to develope the methods for automatic assessment of pronunciation quality, we propose a language model based score as a machine score in the speech recognizer. Experimental results show that the language model based score had higher correlation with human scores than that obtained using the conventional log-likelihood based score.