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Hidden Markov models
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501	This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication. Cross-lingual Subspace Gaussian Mixture Models for Low-reso Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2014-06-07 19:59:18 Markov models Regression analysis Automatic identification and data capture Speech recognition Hidden Markov model Mixture model Linear regression Maximum likelihood Conjugate prior Statistics Computational linguistics Estimation theory
502	A Fast Online Algorithm for Large Margin Training of Continuous Density Hidden Markov Models Chih-Chieh Cheng1 , Fei Sha2 , Lawrence K. Saul1 1 Department of Computer Science and Engineering, University of California, S Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Speech recognition Hidden Markov model Viterbi algorithm Expectation–maximization algorithm Perceptron Markov chain Statistics Markov models Machine learning
503	INTERSPEECH[removed]Inﬁnite Support Vector Machines in Speech Recognition Jingzhou Yang, Rogier C. van Dalen and Mark Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-09-24 18:34:41 Stochastic processes Statistical classification Statistical theory Mixture model Parametric model Dirichlet process Hidden Markov model Generative model Support vector machine Statistics Statistical models Machine learning
504	CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT NOISY CMLLR FOR NOISE-ROBUST SPEECH RECOGNITION D.K. Kim and M.J.F. Gales Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2009-02-18 05:41:02 Regression analysis Parametric statistics Markov models Linear regression Speech recognition Normal distribution Maximum likelihood Hidden Markov model Statistics Estimation theory Econometrics
505	Hidden Markov Models for Grapheme to Phoneme Conversion Paul Taylor Machine Intelligence Laboratory Engineering Department, University of Cambridge [removed] Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2005-11-30 13:23:35 Phonetics Phonology Orthography Applied linguistics N-gram Grapheme Speech recognition Phonotactics Phoneme Linguistics Computational linguistics Science
506	FEBS[removed]FEBS Letters[removed]^272 Recognizing the Pleckstrin homology domain fold in mammalian phospholipase D using hidden Markov models Add to Reading List Source URL: mscl.cit.nih.gov Language: English Membrane biology Pleckstrin homology domain Phospholipase D Protein families Signal transduction PLD2 G protein-coupled receptor Amino acid Heterotrimeric G protein Biology Peripheral membrane proteins Protein domains
507	COMPARISON OF LARGE MARGIN TRAINING TO OTHER DISCRIMINATIVE METHODS FOR PHONETIC RECOGNITION BY HIDDEN MARKOV MODELS Fei Sha∗ Lawrence K. Saul† Add to Reading List Source URL: www-bcf.usc.edu Language: English - Date: 2011-08-01 12:49:00 Expectation–maximization algorithm Hidden Markov model Maximum likelihood Mixture model Likelihood function Generalized method of moments Statistics Estimation theory Speech recognition
508	PDF Document Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-11-05 13:30:30 Bioinformatics Statistical theory Probability theory Statistical models Hidden Markov model Markov chain Independent and identically distributed random variables Maximum likelihood Stochastic context-free grammar Statistics Markov models Probability
509	Pipelined Back-Propagation for Context-Dependent Deep Neural Networks Xie Chen1,3 , Adam Eversole2 , Gang Li1 , Dong Yu2 , and Frank Seide1 1 Microsoft Research Asia, Beijing, P.R.C. 2 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-07-09 06:18:12 Science Computational neuroscience Computational statistics Markov models Computer accessibility Speech recognition GPGPU Hidden Markov model Artificial neural network Neural networks Machine learning Computing
510	Notes on Sequence Patterns 1 Patterns and Pattern Classes By sequence pattern (sometimes called a “motif”) we mean a set of short sequences that is precisely Add to Reading List Source URL: globin.cse.psu.edu Language: English - Date: 2002-03-21 12:47:10 Science Computer programming Markov models Regular expression Pattern Hidden Markov model Glob Summation K-mer Bioinformatics Pattern matching Mathematics

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