MALSORI (대한음성학회지:말소리)
- Issue 60
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- Pages.165-180
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- 2006
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- 1226-1173(pISSN)
SVM-based Utterance Verification Using Various Confidence Measures
다양한 신뢰도 척도를 이용한 SVM 기반 발화검증 연구
- Kwon, Suk-Bong (ICU) ;
- Kim, Hoi-Rin (ICU) ;
- Kang, Jeom-Ja (ETRI) ;
- Koo, Myong-Wan (KT) ;
- Ryu, Chang-Sun (KT)
- 권석봉 (한국정보통신대학교 음성인식기술연구실) ;
- 김회린 (한국정보통신대학교 음성인식기술연구실) ;
- 강점자 (한국전자통신연구원 음성처리연구팀) ;
- 구명완 (KT 미래기술연구소) ;
- 류창선 (KT 미래기술연구소 HCI연구담당 미디어처리연구부)
- Published : 2006.12.30
Abstract
In this paper, we present several confidence measures (CM) for speech recognition systems to evaluate the reliability of recognition results. We propose heuristic CMs such as mean log-likelihood score, N-best word log-likelihood ratio, likelihood sequence fluctuation and likelihood ratio testing(LRT)-based CMs using several types of anti-models. Furthermore, we propose new algorithms to add weighting terms on phone-level log-likelihood ratio to merge word-level log-likelihood ratios. These weighting terms are computed from the distance between acoustic models and knowledge-based phoneme classifications. LRT-based CMs show better performance than heuristic CMs excessively, and LRT-based CMs using phonetic information show that the relative reduction in equal error rate ranges between