한국인을 위한 영어 말하기 시험의 컴퓨터 기반 유창성 평가 = Computer-Based Fluency Evaluation of English Speaking Tests for Koreans

다국어 초록 (Multilingual Abstract)

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 vector regression (SVR). We estimate the parameters of feature modeling and SVR using the speech signals and the corresponding scores by human raters. From the correlation analysis results, it is shown that speech rate, articulation rate, and mean length of runs are best for fluency evaluation. Experimental results show that the correlation between the human score and the SVR score is 0.87 for 3 speaking tests, which suggests the possibility of the proposed algorithm as a secondary fluency evaluation tool.

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 배경 이론
• 3. 제안 알고리듬
• 4. 실험 결과
• 5. 결론
• 참고문헌

참고문헌 (Reference)

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