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A discriminative training algorithm for hidden Markov models
Assaf Ben-Yishai
*
,
David Burshtein
*
Corresponding author for this work
School of Electrical Engineering
Engineering General
Research output
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Contribution to journal
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Article
›
peer-review
36
Scopus citations
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Keyphrases
Noisy Environment
100%
Maximum mutual Information
100%
Hidden Markov Model
100%
Discriminative Algorithms
100%
Keyword Spotting
100%
Maximum Likelihood Estimation
50%
Computational Complexity
50%
Simple Modification
50%
Speech Recognition
50%
Expectation-maximization Algorithm
50%
Digit Recognition
50%
Extended Baum-Welch
50%
Isolated Digit Recognition
50%
Performance Complexity
50%
Baum-Welch Algorithm
50%
Noisy Words
50%
Mutual Information Algorithm
50%
Computer Science
Mutual Information
100%
training algorithm
100%
Noisy Environment
100%
Approximation (Algorithm)
50%
Objective Function
50%
Computational Complexity
50%
maximum-likelihood
50%
Likelihood Estimation
50%
Speech Recognition
50%
baum-welch algorithm
50%
Neuroscience
Mutual Information
100%
Hidden Markov Model
100%
Speech Recognition
50%
Psychology
Hidden Markov Model
100%
Expectation-Maximization Algorithm
50%
Pharmacology, Toxicology and Pharmaceutical Science
Spotting
100%