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Speech Technology
Results: 2764

#	Item
101	Applying Prediction Techniques to Phoneme-based AAC Systems Keith Vertanen Department of Computer Science Montana Tech of the University of Montana Add to Reading List Source URL: www.keithv.com Language: English - Date: 2012-06-13 10:17:44 Phonology Phonetics Assistive technology Orthography Phonics Synthetic phonics Semantic compaction Speech synthesis Allophone Phoneme Augmentative and alternative communication Autocomplete
102	Parents’ Parents’Guide Guideto to Student Add to Reading List Source URL: www.sjusd.org Language: English - Date: 2015-03-06 18:35:28 Reading Educational stages Childhood Educational psychology Learning to read Kindergarten Educational technology Speech and language pathology in school settings Learning through play
103	ISSN No: International Journal & Magazine of Engineering, Technology, Management and Research A Peer Reviewed Open Access International Journal Add to Reading List Source URL: www.ijmetmr.com Language: English - Date: 2015-06-10 07:44:29 Digital signal processing Cognitive musicology Computational linguistics Audio engineering Linear predictive coding Speech synthesis Transcription Pitch Music theory Human voice Image segmentation Music
104	ICD-PX312D Digital Flash Voice Recorder Access more recording time and clearer playback with the ultra-portable ICD-PX312D digital voice recorder. Expandable memory is available Add to Reading List Source URL: docs.sony.com Language: English - Date: 2013-09-27 18:57:39 Speech recognition software Assistive technology Dragon NaturallySpeaking Proprietary software Sound Recorder Windows Vista Windows XP Microsoft Windows S1 MP3 player Windows XP editions
105	Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2015-12-17 18:07:36 Machine learning Computational neuroscience Computational linguistics Computational statistics Computer accessibility Speech recognition Artificial neural network Multi-task learning Recurrent neural network Statistical classification Deep learning
106	Deep neural network context embeddings for model selection in rich-context HMM synthesis Thomas Merritt1 , Junichi Yamagishi1,2 , Zhizheng Wu1 , Oliver Watts1 , Simon King1 1 The Centre for Speech Technology Research, U Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Markov models Automatic identification and data capture Computer accessibility Speech recognition Speech synthesis Hidden Markov model KullbackLeibler divergence
107	CALL FOR PAPERS/INVITATION TO SPECIAL SESSION LANGUAGE TECHNOLOGIES 22nd International Conference on Information and Software Technologies October 13th–15th, 2016, Druskininkai, Lithuania SPONSORED AND SUPPORTED BY Add to Reading List Source URL: oras.if.ktu.lt Language: English - Date: 2016-05-02 06:54:26 Cognitive science Natural language processing Computational linguistics Kaunas University of Technology Information retrieval Speech recognition Electronic submission Linguistics Search engine indexing
108	Microsoft Word - Rosakis_NAE Speech_October_2010.doc Add to Reading List Source URL: www.rosakis.caltech.edu Language: English - Date: 2012-12-19 17:39:19 California Institute of Technology San Gabriel Valley V-12 Navy College Training Program United States presidential inaugurations
109	Complementary tasks for context-dependent deep neural network acoustic models Peter Bell, Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB, UK {peter.bell, s.renals}@ed.ac.uk Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Machine learning Computational linguistics Computational neuroscience Automatic identification and data capture Computer accessibility Speech recognition Artificial neural network Multi-task learning Recurrent neural network Statistical classification Deep learning
110	DIFFERENTIABLE POOLING FOR UNSUPERVISED SPEAKER ADAPTATION Pawel Swietojanski and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB {p.swietojanski, s.renals}@ed.ac.uk ABSTRA Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Automatic identification and data capture Artificial neural networks Computational neuroscience Machine learning Computer accessibility Speech recognition Convolutional neural network Speaker recognition Neocognitron Unsupervised learning FMLLR Pattern recognition

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