A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling

Huda, Shamsul, Yearwood, John Leighton and Togneri, Roberto 2009, A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling, IEEE transactions on systems, man and cybernetics - Part B: cybernetics, vol. 39, no. 1, pp. 182-197, doi: 10.1109/TSMCB.2008.2004051.

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Title A constraint-based evolutionary learning approach to the expectation maximization for optimal estimation of the hidden Markov model for speech signal modeling
Author(s) Huda, Shamsul
Yearwood, John LeightonORCID iD for Yearwood, John Leighton orcid.org/0000-0002-7562-6767
Togneri, Roberto
Journal name IEEE transactions on systems, man and cybernetics - Part B: cybernetics
Volume number 39
Issue number 1
Start page 182
End page 197
Total pages 16
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2009-02
ISSN 1941-0492
Keyword(s) Algorithms
Artificial Intelligence
Humans
Markov Chains
Models, Statistical
Normal Distribution
Pattern Recognition, Automated
Reproducibility of Results
Speech Recognition Software
Language eng
DOI 10.1109/TSMCB.2008.2004051
Field of Research MD Multidisciplinary
HERDC Research category CN.1 Other journal article
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101482

Document type: Journal Article
Collection: School of Information Technology
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