로그 우도 차이의 p-norm에 기반한 은닉 마르코프 파라미터 추정 알고리듬 The p-Norm of Log-likelihood Difference Estimation Algorithm for Hidden Markov Models

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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.
Publisher
대한전자공학회
Issue Date
2007-07-07
Language
KOR
Citation

대한전자공학회 하계종합학술대회, v.30, no.1, pp.307 - 308

URI
http://hdl.handle.net/10203/162639
Appears in Collection
EE-Conference Papers(학술회의논문)
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