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. Attached Files Name Description MIMEType Size Downloads 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 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 Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 03 Aug 2017, 12:26:03 EST Fri, 04 Aug 2017, 05:07:38 EST Fri, 04 Aug 2017, 06:09:45 EST Fri, 22 Jun 2018, 14:11:27 EST Fri, 22 Jun 2018, 14:12:49 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 7 times in Scopus Search Google Scholar Access Statistics: 9 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 03 Aug 2017, 12:26:03 EST

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