Neural Information Processing Systems / Neural Networks / MIT Press / RDI Company / ACOUSTIC MODELING USING DEEP BELIEF NETWORKS / GPU / Monophone Deep Belief Networks / Microsoft / /
Country
Egypt / Belgium / United States / Canada / / /
Facility
CUDAMAT library / University of Edinburgh / Carnegie-Mellon University / University of Toronto / Cairo University / Canadian Institute / Swarthmore College / /
IndustryTerm
wake-sleep algorithm / networks / back-propagation algorithm / filter bank coefficients / belief networks / speech reseach / telephone-quality / energy / energy function / deep belief networks / filter-bank coefficients / pre-training algorithm / graphics processors / large vocabulary tools / Early systems / backpropagation algorithm / typical network / fine-tuning algorithm / learning algorithm / transform-based filter-bank / /
MarketIndex
SET 50 / /
MusicAlbum
SPEECH / /
Organization
University of Toronto / Toronto / Institute for Adaptive / MIT / Canadian Institute for Advanced Research / Department of Computer Science / Cairo University / American Academy of Arts and Sciences / University of Edinburgh / US Federal Reserve / Carnegie-Mellon University / Katholieke Universiteit Leuven / Natural Sciences and Engineering Research Council of Canada / Royal Society / Swarthmore College / /
Person
Geoffrey Hinton / Li Deng / Jim Glass / Morgan Kaufmann / Mel Frequency Cepstral / John Bridle / George E. Dahl / Gerald Penn / SING DEEP BELIEF NETS / UTML TR / /
Position
honorary foreign member / speaker / professor of Artificial Intelligence / feed-forward / representative / /
SUBMITTED TO IEEE TRANS. ON AUDIO, SPEECH, AND LANGUAGE PROCESSING 1 Acoustic Modeling using Deep Belief Networks Abdel-rahman Mohamed, George E. Dahl, and Geoffrey Hinton