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Hidden Markov model
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#	Item
161	Glottal Source and Prosodic Prominence Modelling in HMM-based Speech Synthesis for the Blizzard Challenge 2009 J. Sebastian Andersson, Joao P. Cabral, Leonardo Badino, Junichi Yamagishi, Robert A.J. Clark The Centre for Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2010-01-20 10:29:51 Tone Assistive technology Speech synthesis Pitch accent Speech recognition Linguistics Hidden Markov model Humanâ€“computer interaction International Phonetic Alphabet Computational linguistics Science Computer accessibility
162	Machine Learning for Information Extraction from XML marked-up text on the Semantic Web Nigel Collier National Institute of Informatics (NII) National Center of Sciences, 2-1-2 Hitotsubashi Chiyoda-ku, Tokyo, Ja Add to Reading List Source URL: sunsite.informatik.rwth-aachen.de Language: English - Date: 2001-05-10 09:15:16 Bioinformatics Protein families Protein domains Information extraction Hidden Markov model Natural language processing NF-κB Speech recognition REL Biology Computational linguistics Transcription factors
163	Automated Probabilistic Address Standardisation and Verification http://datamining.anu.edu.au/linkage.html Peter Christen? and Daniel Belacic Department of Computer Science, Australian National University, Add to Reading List Source URL: cs.anu.edu.au Language: English - Date: 2005-12-07 18:17:06 Linguistics Bioinformatics Computational linguistics Formal sciences Hidden Markov model Part-of-speech tagging Speech recognition Lookup table Extract transform load Markov models Science Computing
164	Probabilistic Modelling and Reasoning School of Informatics, University of Edinburgh Instructor: Prof Chris Williams September 2012 Assessment By formal examination (80%) and one assignment (20%). Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2012-08-31 08:26:57 Statistical models Networks Probability theory Bayesian network Expectation–maximization algorithm Hidden Markov model Bayesian inference Markov random field Belief propagation Statistics Graphical models Bayesian statistics
165	Mining the Web With Active Hidden Markov Models Add to Reading List Source URL: fusion.cs.uni-magdeburg.de Language: English - Date: 2002-10-04 04:12:44 Probability and statistics Hidden Markov model Maximum-entropy Markov model Speech recognition Forward–backward algorithm Markov chain Baum–Welch algorithm Expectation–maximization algorithm Algorithm Markov models Statistics Machine learning
166	Hierarchical Mixture Models for Nested Data Structures Jeroen K. Vermunt1 and Jay Magidson2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:15:13 Regression analysis Categorical data Estimation theory Expectation–maximization algorithm Mixture model Latent class model Mixture distribution Hidden Markov model Markov chain Statistics Statistical models Markov models
167	BMC Medical Informatics and Decision Making BioMed Central Open Access Add to Reading List Source URL: cs.anu.edu.au Language: English - Date: 2003-03-07 19:57:38 Statistics Computer algebra Data management Record linkage Hidden Markov model Data structure Sherlock Holmes Speech recognition Data cleansing Markov models Science Medicine
168	8th ISCA Speech Synthesis Workshop • August 31 – September 2, 2013 • Barcelona, Spain Investigating the shortcomings of HMM synthesis Thomas Merritt, Simon King The Centre for Speech Technology Research, The Unive Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2013-10-07 08:11:17 Summary statistics Probability theory Variance Hidden Markov model Speech synthesis Standard deviation Estimation theory Multidimensional scaling Degrees of freedom Statistics Data analysis Computational linguistics
169	A Distance Model for Rhythms Jean-Fran¸ cois Paiement Yves Grandvalet IDIAP Research Institute, Case Postale 592, CH-1920 Martigny, Switzerland Add to Reading List Source URL: bengio.abracadoudou.com Language: English - Date: 2008-06-27 10:33:55 Dynamic programming Bioinformatics Estimation theory Hidden Markov model Machine learning Levenshtein distance Expectation–maximization algorithm Mixture model Statistics Probability and statistics Markov models
170	Bayesian Learning of Recursively Factored Environments Marc Bellemare Joel Veness Michael Bowling University of Alberta, Edmonton, Canada, T6G 2E8 Add to Reading List Source URL: jveness.info Language: English - Date: 2013-05-27 08:48:20 Science Graphical model Hidden Markov model Factorization Dynamic programming Recursion Mathematics Statistics Markov models

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