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Acoustic model
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#	Item
31	DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-Botinhao Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Speech recognition Speech synthesis Recurrent neural network Artificial neural network International Conference on Acoustics Speech and Signal Processing Speech perception Digital News Network Acoustic model Deep learning
32	CONVOLUTIONAL NEURAL NETWORKS-BASED CONTINUOUS SPEECH RECOGNITION USING RAW SPEECH SIGNAL Dimitri Palaz?† Mathew Magimai.-Doss? Add to Reading List Source URL: ronan.collobert.com Language: English - Date: 2015-03-18 03:54:04 Computational neuroscience Computational linguistics Academia Artificial intelligence Applied mathematics Artificial neural networks Speech recognition Cybernetics Deep learning Convolutional neural network Acoustic model TIMIT
33	A SUMMARY OF THE 2012 JHU CLSP WORKSHOP ON ZERO RESOURCE SPEECH TECHNOLOGIES AND MODELS OF EARLY LANGUAGE ACQUISITION Aren Jansen,1 Emmanuel Dupoux,2 Sharon Goldwater, 3 Mark Johnson,4 Sanjeev Khudanpur,1 Kenneth Church, Add to Reading List Source URL: www.lscp.net Language: English - Date: 2013-04-17 11:55:33 Computational linguistics Speech recognition Machine learning Natural language processing Computational neuroscience Acoustic model Pattern recognition Image segmentation Artificial neural network Speech perception Language model N-gram
34	Towards minimum perceptual error training for DNN-based speech synthesis Cassia Valentini-Botinhao, Zhizheng Wu, Simon King The Centre for Speech Technology Research, University of Edinburgh, United Kingdom cvbotinh@inf. Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Signal processing Cepstrum Frequency domain analysis Speech synthesis Acoustic model Cepstral Electrical engineering Humancomputer interaction Computational science Speech recognition
35	EXPERIMENTS IN BROADCAST NEWS TRANSCRIPTION P.C. Woodland, T. Hain, S.E. Johnson, T.R. Niesler, A. Tuerk & S.J. Young Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK e-mail: pcw,th Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2000-04-10 07:42:40 Speech recognition Speech processing Science Digital signal processing Image processing Segmentation Acoustic model Memory segmentation Speaker recognition Computational linguistics Automatic identification and data capture Humanâ€“computer interaction
36	THE CU-HTK MARCH 2000 HUB5E TRANSCRIPTION SYSTEM T. Hain, P.C. Woodland, G. Evermann & D. Povey Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK e-mail: {th223,pcw,ge204,dp10006}@en Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2000-10-05 12:43:31 Science Linguistics Estimation theory Markov models Statistical theory Acoustic model Maximum likelihood Hidden Markov model HTK Speech recognition Computational linguistics Statistics
37	THE DEVELOPMENT OF THE 1996 HTK BROADCAST NEWS TRANSCRIPTION SYSTEM P.C. Woodland, M.J.F. Gales, D. Pye & S.J. Young Cambridge University Engineering Department, Trumpington Street, Cambridge, CB2 1PZ, UK Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2000-03-08 12:11:29 Science Medicine HTK Acoustic model Hidden Markov model Histidine-tryptophan-ketoglutarate Computational linguistics Speech recognition Humanâ€“computer interaction
38	The 1998 HTK Broadcast News Transcription System: Development and Results P.C. Woodland, T. Hain, G.L. Moore, T.R. Niesler, D. Povey, A. Tuerk & E.W.D. Whittaker Cambridge University Engineering Department, Trumpington S Add to Reading List Source URL: mi.eng.cam.ac.uk Language: English - Date: 2000-03-08 12:19:05 Linguistics Markov models Evaluation of machine translation Natural language processing Acoustic model N-gram HTK Hidden Markov model Word error rate Speech recognition Computational linguistics Science
39	How to order Description Summary ALMOST is a sophisticated underwater acoustic model for propagation and range prediction, which is able to assess detection performance for fully specified passive and active sonars. The Add to Reading List Source URL: www.tno.nl - Date: 2015-07-06 02:58:19
40	SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton Add to Reading List Source URL: www.cs.toronto.edu Language: English - Date: 2011-03-01 16:37:24 Science Artificial neural network Boltzmann machine Recurrent neural network Feedforward neural network Backpropagation Speech recognition Hidden Markov model Early stopping Neural networks Machine learning Cybernetics