Robust estimation of discrete hidden Markov model parameters using the entropy-based feature-parameter weighting and source-quantization modeling-Reference-Cited by-同舟云学术

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Robust estimation of discrete hidden Markov model parameters using the entropy-based feature-parameter weighting and source-quantization modeling

Published:1998-07 Issue:3 Volume:12 Page:243-252
ISSN:0954-1810
Container-title:Artificial Intelligence in Engineering
language:en
Short-container-title:Artificial Intelligence in Engineering

Author:

Choi Hwan Jin,Yun Sung Jin,Oh Yung Hwan

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference20 articles.

1. Fundamentals of Speech Recognition;Rabiner,1993

2. Speaker-independent phoneme recognition using hidden Markov models;Lee,1988

3. Fuzzy vector quantization applied to hidden Markov modeling;Tseng,1987

4. Recognition of isolated digits using hidden Markov models with continuous mixture densities;Rabiner;AT&T Tech. J.,1985

5. Semi-continuous hidden Markov models for speech signals;Huang;Computer Speech and Language,1989

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