Hidden Markov model

Results: 908



#Item
241Cybernetics / Computational neuroscience / Artificial intelligence / Recurrent neural network / Computational science / Long short term memory / Speech synthesis / Speech recognition / Hidden Markov model / Neural networks / Science / Computational linguistics

INTERSPEECHTTS Synthesis with Bidirectional LSTM based Recurrent Neural Networks Yuchen Fan 1,2*, Yao Qian2, Fenglong Xie2, Frank K. Soong2 1

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2014-10-20 08:22:50
242Science / Probability and statistics / Speech recognition / Computer accessibility / Mixture model / Speech enhancement / Mel-frequency cepstrum / Hidden Markov model / Julius / Statistics / Computational linguistics / Markov models

Making a Robot Recognize Three Simultaneous Sentences in Real-Time

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Source URL: jmvalin.ca

Language: English - Date: 2005-10-13 06:24:28
243Probability theory / Statistical theory / Graphical models / Bayesian statistics / Machine learning / Conditional random field / Hidden Markov model / Markov random field / Information theory / Statistics / Probability and statistics / Probability

Conditional Random Fields: An Introduction∗ Hanna M. Wallach February 24, 2004 1

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Source URL: www.inference.phy.cam.ac.uk

Language: English - Date: 2004-09-21 19:00:07
244Algebra / Machine learning / Hidden Markov model / Speech recognition / Transformation matrix / Backpropagation / Affine transformation / Linear map / Artificial neural network / Transformation / Mathematics / Neural networks

ADAPTATION OF CONTEXT-DEPENDENT DEEP NEURAL NETWORKS FOR AUTOMATIC SPEECH RECOGNITION Kaisheng Yao1 , Dong Yu2 , Frank Seide3 , Hang Su3,4 , Li Deng2 , and Yifan Gong1 1 Online Service Division, Microsoft Corporation, R

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2013-03-16 11:34:11
245Statistics / Viterbi algorithm / Probability and statistics / Hidden Markov model / Forward–backward algorithm / Pointwise / Mathematics / Annotation / Markov models / Error detection and correction / Dynamic programming

HERD: The Highest Expected Reward Decoding for HMMs with Application to Recombination Detection ˇ Brejová Brona Department of Computer Science

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Source URL: www.cs.ucr.edu

Language: English - Date: 2010-08-20 17:45:42
246Hidden Markov model / Dirichlet process / Mixture model / Conjugate prior / Dirichlet distribution / Statistics / Probability and statistics / Bioinformatics

An HDP-HMM for Systems with State Persistence Emily B. Fox Department of EECS, Massachusetts Institute of Technology, Cambridge, MAErik B. Sudderth Department of EECS, University of California, Berkeley, CA 94720

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2009-03-05 07:38:32
247Estimation theory / Covariance and correlation / Markov models / Maximum likelihood / Statistical theory / Hidden Markov model / Covariance / N-gram / Statistics / Probability / Science

Microsoft Word - UBM v8.0.doc

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2009-05-20 07:31:50
248Cybernetics / Speech recognition / Boltzmann machine / Perceptron / Hidden Markov model / Autoencoder / Neural networks / Machine learning / Science

UNSUPERVISED CROSS-LINGUAL KNOWLEDGE TRANSFER IN DNN-BASED LVCSR Pawel Swietojanski, Arnab Ghoshal and Steve Renals Centre for Speech Technology Research, University of Edinburgh, Edinburgh EH8 9AB .

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Source URL: www.cstr.ed.ac.uk

Language: English - Date: 2012-10-29 12:49:29
249Cepstrum / Speech recognition / Maximum likelihood / Hidden Markov model / Parameter space / Parameter / Linear regression / Statistics / Estimation theory / Statistical theory

EurospeechScandinavia Rapid Vocal Tract Length Normalization using Maximum Likelihood Estimation Tadashi Emori and Koichi Shinoda Computer & Communication Media Research, NEC Corporation,

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Source URL: wiki.inf.ed.ac.uk

Language: English - Date: 2009-02-17 12:27:03
250Mathematics / Statistics / Machine learning / Artificial intelligence / Probability theory / Conditional random field / Hidden Markov model / Pattern recognition / Markov random field / Theoretical computer science / Graphical models / Applied mathematics

Webpage Understanding: an Integrated Approach Jun Zhu ∗ Dept. of Comp. Sci. & Tech.

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Source URL: research.microsoft.com

Language: English - Date: 2007-06-15 03:38:48
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