COMPARING MULTILAYER PERCEPTRON TO DEEP BELIEF NETWORK TANDEM FEATURES FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 1 2 - Deep belief network - Document - PDFSEARCH.IO

First Page	Meta Content
	COMPARING MULTILAYER PERCEPTRON TO DEEP BELIEF NETWORK TANDEM FEATURES FOR ROBUST ASR Oriol Vinyals1,2 , Suman V. Ravuri1,2 1 2 Add to Reading List Document Date: 2010-10-21 02:50:56 Open Document File Size: 343,10 KB Share Result on Facebook Company Deep Belief Networks / Conventional HMM Systems / / / Facility University of California / International Computer Science Institute / / IndustryTerm speech recognition systems / neural networks / deep networks / nonTandem systems / back-propagation algorithm / Stand-alone systems / learning algorithm / / MarketIndex set 800 / / Organization University of California / National Science Foundation / USA EECS Department / International Computer Science Institute / / Person George Dahl / Sangita Sharma / Nelson Morgan / Sachin Kajarekar / Dan Ellis / Hynek Hermansky / Pratibha Jain / Suman V / / Product Tandem / Tandem system / / ProvinceOrState Aurora / / PublishedMedium Machine Learning / / Technology back-propagation algorithm / speech recognition / training algorithms / machine learning / / URL http / SocialTag Multilayer 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 2Add to Reading List