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A Deep Neural Network for Acoustic-Articulatory Speech Inversion Benigno Uria Institute for Adaptive and Neural Computation University of Edinburgh, UK
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Document Date: 2012-07-04 11:42:28


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City

Pittsburgh / Istanbul / Bellevue / Vancouver / Makuhari / Brighton / /

Company

Neural Information Processing Systems / MIT Press / /

Country

Turkey / Japan / United States / Canada / United Kingdom / /

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Facility

Speech Technology Research University of Edinburgh / University of Toronto / Acoustic-Articulatory Speech Inversion Benigno Uria Institute / Edinburgh University / Neural Computation University of Edinburgh / /

IndustryTerm

deep belief networks / trajectory mixture density network / trajectory mixture density networks / midsagittal articulometer systems / deep belief network / belief networks / energy-based models / Speech parameter generation algorithms / lower energy / backpropagation algorithm / energy value / mixture density network / learning algorithm / recognition systems / energy / /

Organization

Edinburgh University / UK b.uria@ed.ac.uk Steve Renals Centre / Department of Computer Science / MIT / University of Edinburgh / Acoustic-Articulatory Speech Inversion Benigno Uria Institute for Adaptive / UK s.renals@ed.ac.uk Korin Richmond Centre / Acoustical Society of America / Centre for Speech Technology Research / University of Toronto / /

Person

Iain Murray / Geoffrey E. Hinton / Richmond Centre / Gregor Hofer / Korin Richmond / Navdeep Jaitly / S. Announcing / /

Position

King / tackle / speaker / single speaker / CITO Researcher / /

PublishedMedium

Machine Learning / /

Technology

Speech recognition / MLPG algorithm / Neural Network / artificial intelligence / Speech parameter generation algorithms / machine learning / animation / backpropagation algorithm / /

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