A variable initialization approach to the em algorithm for better estimation of the parameters of Hidden Markov model based acoustic modeling of speech signals

Huda, MD Shamsul, Ghosh, R and Yearwood, John Leighton 2006, A variable initialization approach to the em algorithm for better estimation of the parameters of Hidden Markov model based acoustic modeling of speech signals, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Berlin, Germany, pp. 416-430, doi: 10.1007/11790853_33.

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Title A variable initialization approach to the em algorithm for better estimation of the parameters of Hidden Markov model based acoustic modeling of speech signals
Author(s) Huda, MD Shamsul
Ghosh, R
Yearwood, John LeightonORCID iD for Yearwood, John Leighton orcid.org/0000-0002-7562-6767
Conference location Leipzig, Germany
Conference dates 2006/07/14 - 2006/07/15
Title of proceedings Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publication date 2006
Start page 416
End page 430
Total pages 15
Publisher Springer
Place of publication Berlin, Germany
ISSN 0302-9743
1611-3349
DOI 10.1007/11790853_33
Field of Research 08 Information And Computing Sciences
HERDC Research category EN.1 Other conference paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30101510

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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