Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)
- 2007.07a
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- Pages.307-308
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- 2007
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)
- Published : 2007.07.11
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