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Gales
Results: 324

#	Item
271	1 Structured SVMs for Automatic Speech Recognition Shi-Xiong Zhang, Student Member, IEEE and M. J. F. Gales, Fellow, IEEE Abstract—Combining generative and discriminative models Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-10-19 07:01:36 Analysis of algorithms Mathematics Maximum likelihood Statistical theory Hidden Markov model Big O notation Structured SVM Science Estimation theory Statistics Support vector machines
272	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
273	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
274	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
275	Instantaneous and Discriminative Adaptation for Automatic Speech Recognition Mark Gales with Kai Yu and CK Raut August[removed]Cambridge University Engineering Department Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-08-15 12:20:16 Speech recognition Humanâ€“computer interaction Science Computing Computational linguistics Automatic identification and data capture Computer accessibility
276	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
277	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
278	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
279	INFERENCE ALGORITHMS FOR GENERATIVE SCORE-SPACES A. Ragni and M. J. F. Gales Cambridge University Engineering Department Trumpington St., Cambridge CB2 1PZ, U.K. {ar527,mjfg}@eng.cam.ac.uk ABSTRACT Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-03-27 12:44:34 Markov models Computational linguistics Estimation theory Bioinformatics Hidden Markov model Conditional random field Generative model N-gram Maximum likelihood Statistics Machine learning Probability
280	INCREMENTAL ADAPTATION USING BAYESIAN INFERENCE K. Yu and M.J.F. Gales Engineering Department, Cambridge University Trumpington St. Cambridge, CB2 1PZ, U.K. {ky219,mjfg}@eng.cam.ac.uk ABSTRACT Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2006-02-23 06:08:00 Estimation theory Statistical inference Expectation–maximization algorithm Missing data Maximum likelihood Bayesian inference Normal distribution Bayesian network Sufficient statistic Statistics Statistical theory Bayesian statistics