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Hidden Markov models
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#	Item
611	Model-Based Approaches to Handling Uncertainty M.J.F. Gales Abstract A powerful approach for handling uncertainty in observations is to modify the statistical model of the data to appropriately reflect this uncertainty. Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-02-10 06:33:37 Statistical inference Markov models Statistical models Multivariate normal distribution Speech recognition Hidden Markov model Additive white Gaussian noise Mixture model Linear regression Statistics Estimation theory Regression analysis
612	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 {jy308,rcv25,mjfg}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-06-13 07:07:00 Stochastic processes Statistical classification Statistical theory Parametric model Mixture model Dirichlet process Hidden Markov model Support vector machine Pattern recognition Statistics Statistical models Machine learning
613	STRUCTURED DISCRIMINATIVE MODELS FOR NOISE ROBUST CONTINUOUS SPEECH RECOGNITION A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge, CB2 1PZ, UK {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-03-11 04:23:32 Probability and statistics Science Markov models Statistical models Computer accessibility Speech recognition Generative model Hidden Markov model Discriminative model Machine learning Computational linguistics Statistics
614	Optimal Feature Spaces for Noise-Robust Speech Recognition rogier c. van dalen Girton College University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-25 11:19:13 Estimation theory Regression analysis Econometrics Statistical models Markov chain Hidden Markov model Linear regression Maximum likelihood Mixture model Statistics Probability and statistics Markov models
615	A Variational Perspective on Noise-Robust Speech Recognition R. C. van Dalen, M. J. F. Gales Department of Engineering, Cambridge University Cambridge, UK {rcv25,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:35:56 Statistical models Kullback–Leibler divergence Thermodynamics Maximum likelihood Normal distribution Hidden Markov model Mixture model Divergence Expectation–maximization algorithm Statistics Statistical theory Estimation theory
616	Derivative Kernels for Noise Robust ASR A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge CB2 1PZ, U.K. {ar527,mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2011-12-20 07:22:29 Computational linguistics Speech recognition Markov models Bioinformatics Hidden Markov model Generative model Discriminative model Conditional random field N-gram Machine learning Statistics Probability
617	Discriminative Adaptive Training and Bayesian Inference for Speech Recognition Chandra Kant Raut University of Cambridge Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2010-06-10 04:22:31 Machine learning Statistical models Statistical theory Hidden Markov model Speech recognition Expectation–maximization algorithm Maximum likelihood Bayesian network Variational Bayesian methods Statistics Estimation theory Bayesian statistics
618	Hidden Markov Models in a nutshell NYC Predictive Analytics Meetup Oualid Missaoui Pipeline Financial Group, Inc. Add to Reading List Source URL: files.meetup.com Language: English - Date: 2011-11-04 15:31:12 Markov chain Perceptron Hindu population in England & Wales
619	Structured Support Vector Machines for Noise Robust Continuous Speech Recognition Shi-Xiong Zhang and Mark Gales Department of Engineering, University of Cambridge, Cambridge, UK {sxz20, mjfg}@eng.cam.ac.uk Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-01-19 12:21:15 Statistical classification Support vector machines Bioinformatics Markov models Hidden Markov model Structured SVM Speech recognition Conditional random field Maximum likelihood Statistics Machine learning Probability and statistics
620	SPECIAL ISSUE ON FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION 1 Structured Discriminative Models For Speech Recognition Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-10-19 07:08:45 Markov models Computational linguistics Statistical natural language processing Generative model Hidden Markov model Maximum-entropy Markov model Constructible universe Discriminative model Speech recognition Machine learning Probability Statistics

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