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Gales
Results: 324

#	Item
211	EFFICIENT LATTICE RESCORING USING RECURRENT NEURAL NETWORK LANGUAGE MODELS X. Liu, Y. Wang, X. Chen, M. J. F. Gales & P. C. Woodland Cambridge University Engineering Dept, Trumpington St., Cambridge, CB2 1PZ U.K. Email: Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-11-07 09:00:40 Computational linguistics Cybernetics Computational neuroscience Artificial intelligence Recurrent neural network Speech recognition N-gram Long short term memory Cluster analysis Neural networks Statistics Science
212	Covariance Modelling for Noise-Robust Speech Recognition R. C. van Dalen, M. J. F. Gales Cambridge University Engineering Department Trumpington Street, Cambridge, CB2 1PZ, UK [removed], [removed] Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-06-16 10:02:33 Covariance Matrix Linear regression Cross-covariance Statistics Covariance and correlation Speech recognition
213	An Explicit Independence Constraint for Factorised Adaptation in Speech Recognition Y.-Q. Wang and M.J.F. Gales Engineering Department, Cambridge University Trumpington St. Cambridge University, CB2 1PZ, U.K. {yw293,mjfg Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-06-13 06:57:31 Speech recognition Integral transform Loudspeaker Analysis Humanâ€“computer interaction Mathematical analysis Automatic identification and data capture Computer accessibility
214	Combining Tandem and Hybrid Systems for Improved Speech Recognition and Keyword Spotting on Low Resource Languages Shakti P. Rath, Kate M. Knill, Anton Ragni and Mark J. F. Gales Cambridge University Engineering Departme Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-06-23 06:42:58 Computer architecture Speech recognition OOV Tandem Computers Neural network FLEX Speech synthesis Computational linguistics Computing Science
215	Structured Discriminative Models for Speech Recognition Mark Gales with Martin Layton, Anton Ragni, Austin Zhang, Rogier van Dalen December 2012 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-12-10 23:15:25 Markov models Computational linguistics Probability and statistics Discriminative model Artificial intelligence Generative model Hidden Markov model Speech recognition Machine learning Statistics Statistical models
216	INVESTIGATION OF MULTILINGUAL DEEP NEURAL NETWORKS FOR SPOKEN TERM DETECTION K.M. Knill, M.J.F.Gales, S.P. Rath, P.C. Woodland, C. Zhang, S.-X. Zhang Department of Engineering, University of Cambridge Trumpington Street, Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2013-11-07 12:25:39 Information retrieval Automatic identification and data capture Computer accessibility Speech recognition Multilingualism Search engine indexing Information science Science Computational linguistics
217	Acoustic Factorisation for Speech Recognition and Speech Synthesis Mark Gales work with Yongqiang Wang, Heiga Zen (Toshiba Research Europe Ltd) March 2012 Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2012-04-05 11:29:38 Humanâ€“computer interaction Speech recognition Speech synthesis Acoustic model Synthesizer Computational linguistics Science Music
218	Data augmentation for low resource languages Anton Ragni, Kate M. Knill, Shakti P. Rath and Mark J. F. Gales Department of Engineering, University of Cambridge Trumpington Street, Cambridge CB2 1PZ, UK {ar527,kmk1001,spr Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2014-06-23 06:42:23 Artificial intelligence Speech recognition Speech synthesis Multilayer perceptron Acoustic model Support vector machine Hidden Markov model Computational linguistics Science Statistics
219	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: 2010-09-03 04:10:35 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
220	CAMBRIDGE UNIVERSITY ENGINEERING DEPARTMENT DISCRIMINATIVE CLASSIFIERS WITH GENERATIVE KERNELS FOR NOISE ROBUST SPEECH RECOGNITION M.J.F. Gales and F. Flego Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2008-08-13 07:37:06 Fisher kernel Parameter Speech recognition Statistics Statistical classification Support vector machine

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