Speech science

Results: 3579



#Item
391Multilayer perceptron / Computing / Speech recognition / DBN / Perceptron / Backpropagation / Neural networks / Cybernetics / Science

COMPARING MULTILAYER PERCEPTRON TO DEEP BELIEF NETWORK TANDEM FEATURES FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 1 2

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Source URL: www1.icsi.berkeley.edu

Language: English - Date: 2010-10-21 02:50:56
392Science / Semi-supervised learning / Natural language processing / Co-training / Supervised learning / Sequence labeling / Part-of-speech tagging / Conditional random field / Hidden Markov model / Machine learning / Artificial intelligence / Statistics

Semi-Supervised Sequence Labeling with Self-Learned Features Yanjun Qi∗ , Pavel Kuksa† , Ronan Collobert∗ , Kunihiko Sadamasa∗ , Koray Kavukcuoglu‡ and Jason Weston§ ∗ Machine Learning Department, NEC Labs A

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Source URL: ronan.collobert.com

Language: English - Date: 2009-09-30 13:22:00
393Econometrics / Science / Phonology / Phonetics / Prosody / Speech synthesis / Linear regression / Multicollinearity / Statistical model / Statistics / Linguistics / Regression analysis

How Much Prosody Can You Learn from Twenty Utterances? Eric Keller / Brigitte Zellner Keller (Lausanne) Abstract It was examined how much speech material is required to build a prosodic model for duration, fundamental fr

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Source URL: www.linguistik-online.de

Language: English - Date: 2003-12-10 11:52:34
394Disability / David Beukelman / Year of birth missing / Developmental disability / Cerebral palsy / Universal design / Augmentative and alternative communication / Speech generating device / Health / Medicine / Speech and language pathology

BeukelmanAn Enduring Theme: It is all about COMMUNICATION! State of Science Conference

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Source URL: aac-rerc.psu.edu

Language: English - Date: 2012-07-26 12:13:33
395Artificial intelligence / Parts of speech / Syntax / Grammatical gender / Linguistic morphology / Natural language processing / German grammar / Computer-assisted language learning / Modified Newtonian dynamics / Linguistics / Science / Grammar

What exactly is wrong and why? Tutorial Dialogue for Intelligent CALL Systems Manfred Klenner (Zurich) / Henriëtte Visser (Heidelberg) Abstract We introduce a dialogue-based explanation facility for Intelligent CALL (IC

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Source URL: www.linguistik-online.de

Language: English - Date: 2003-12-19 05:48:47
396Speech synthesis / Reading / Film / Science / Linguistics / Visual arts / Assistive technology

not quite inert jellylike and flaccid but

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Source URL: www.annabarham.net

Language: English - Date: 2015-05-08 05:34:18
397Science / Language / Semantics / Speech recognition / Sentiment analysis / SemEval / Grammatical aspect / Lexicon / Tense–aspect–mood / Linguistics / Natural language processing / Computational linguistics

NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews Svetlana Kiritchenko, Xiaodan Zhu, Colin Cherry, and Saif M. Mohammad National Research Council Canada 1200 Montreal Rd., Ottawa, ON, Canada {Svetlana.

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Source URL: www.saifmohammad.com

Language: English - Date: 2014-06-21 23:24:53
398Information science / Audio storage / Copyright law / Computer storage media / Consumer electronics / DeCSS / Anti-circumvention / Digital Millennium Copyright Act / Prior restraint / Law / DVD / Cryptography

UNIVERSAL CITY STUDIOS, INC. v. ERIC CORLEY 273 F.3d 429 (2d CirJON O. NEWMAN, Circuit Judge. When the Framers of the First Amendment prohibited Congress from making any law "abridging the freedom of speech," the

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Source URL: cyber.law.harvard.edu

Language: English - Date: 2010-11-14 08:23:45
399Speech synthesis / Science / Artificial intelligence applications / Computational linguistics / Assistive technology

Office of Assessment MEMORANDUM May 8, 2015 TO: District Test Coordinators

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Source URL: de.portal.airast.org

Language: English - Date: 2015-05-12 16:10:29
400Science / Recurrent neural network / Speech recognition / Multilayer perceptron / Backpropagation / Statistical classification / Types of artificial neural networks / Neural networks / Machine learning / Cybernetics

REVISITING RECURRENT NEURAL NETWORKS FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 , Daniel Povey3 1 2

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Source URL: www1.icsi.berkeley.edu

Language: English - Date: 2012-01-26 11:39:14
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