Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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The p-Norm of Log-likelihood Difference Estimation Algorithm for Hidden Markov Models

로그 우도 차이의 P-norm에 기반한 은닉 마르코프 파라미터 추정 알고리듬

  • Yun, Sung-Rack (Department of Electrical Engineering Korea Advanced Institute of Science and Technology) ;
  • Yoo, Chang-D. (Department of Electrical Engineering Korea Advanced Institute of Science and Technology)
  • 윤성락 (한국과학기술원 전자전산학과 전기 및 전자 공학) ;
  • 유창동 (한국과학기술원 전자전산학과 전기 및 전자 공학)
  • Published : 2007.07.11
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Abstract

This paper proposes a discriminative training algorithm for estimating hidden Markov model (HMM) parameters. The proposed algorithm estimates the Parameters by minimizing the p-norm of log-likelihood difference (PLD) between the utterance probability given the correct transcription and the most competitive transcription.

Keywords