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

외국어 발화오류 검출 음성인식기의 성능 개선을 위한 스코어링 기법

  • Published : 2004.03.01

Abstract

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.

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