Multilayer perceptrons for state-dependent weightings of HMM likelihoods-Reference-Cited by-同舟云学术

Multilayer perceptrons for state-dependent weightings of HMM likelihoods

Published:1996-01 Issue:1 Volume:18 Page:79-89
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Chung Yong Joo,Un Chong Kwan

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference21 articles.

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2. Maximum mutual information estimation of hidden Markov model parameters for speech recognition;Bahl,1986

3. A new algorithm for the estimation of hidden Markov model parameters;Bahl,1988

4. An inequality and associated maximization technique in statistical estimation of probabilistic functions of Markov process;Baum;Inequalities,1972

5. Global optimization of a neural network-hidden Markov model hybrid;Bengio;IEEE Trans. Neural Networks,1992

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1. A survey of hybrid ANN/HMM models for automatic speech recognition;Neurocomputing;2001-04

2. Discriminative state-dependent weightings of duration-based state transition model through minimum classification error training;Systems and Computers in Japan;2000-04

3. Learning Perception for Indoor Robot Navigation with a Hybrid Hidden Markov Model/Recurrent Neural Networks Approach;Connection Science;1999-12

4. Neural network based digit recognition system for voice dialling in noisy environments;Information Sciences;1999-12

5. Performance of HMM-based speech recognizers with discriminative state-weights;Speech Communication;1996-09