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Hidden Markov model / Artificial neural network / Boltzmann machine / Generative model / Feedforward neural network / Speech recognition / Backpropagation / Expectation–maximization algorithm / Latent variable / Statistics / Neural networks / Machine learning


1 Deep Neural Networks for Acoustic Modeling in Speech Recognition Geoffrey Hinton, Li Deng, Dong Yu, George Dahl, Abdel-rahman Mohamed, Navdeep Jaitly, Andrew Senior, Vincent Vanhoucke, Patrick Nguyen, Tara Sainath, an
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Document Date: 2012-10-26 02:52:04


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Company

IBM / Microsoft Research / IBM Research / MFCCs / Google / Microsoft / Deep Neural Networks / /

Facility

University of Toronto / /

IndustryTerm

speech recognition systems / energy function / bottleneck systems / forward-backward algorithm / filter-bank coefficients / neural network / machine learning algorithms / filter-bank outputs / feedforward neural network / neural networks / approximate learning algorithm / deep belief network / artificial neural network / Artificial neural networks / pre-processing / learning algorithms / energy / using neural networks / /

Organization

University of Toronto / /

Person

Hinton / George Dahl / Tara Sainath / Deng / Vincent Vanhoucke / Mel Frequency Cepstral Coefficients / Patrick Nguyen / Navdeep Jaitly / Dong Yu / /

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Position

feed-forward / speaker / deterministic feed-forward / model / /

RadioStation

DNN / /

Technology

approximate learning algorithm / Speech Recognition / machine learning algorithms / neural network / learning algorithms / EM algorithm / forward-backward algorithm / /

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