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Econometrics / Noise / Markov models / Linear regression / Normal distribution / Hidden Markov model / Additive white Gaussian noise / Speech recognition / Multivariate normal distribution / Statistics / Estimation theory / Regression analysis


Uncertainty Decoding for Noise Robust Speech Recognition Hank Liao Sidney Sussex College University of Cambridge
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Document Date: 2009-05-26 14:32:18

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File Size: 3,62 MB

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Company

Machine Intelligence Laboratory / Toshiba Research Europe / /

Facility

Cambridge University / Noise Robust Speech Recognition Hank Liao Sidney Sussex College University of Cambridge September / Machine Intelligence Laboratory / University of Cambridge / /

IndustryTerm

a◦b element-wise product / column vector a•b dot product / vocabulary systems / /

Movie

MBR with Catherine / /

Organization

Cambridge University / Organisation of Thesis / University of Cambridge / A -1 / Noise Robust Speech Recognition Hank Liao Sidney Sussex College University of Cambridge / /

Person

Kate Knill / Darren Green / Steve Young / Anna Langley / Mitch Weintraub / Sarah Airey / Matt Stuttle / Jasha Droppo / Andrew Liu / Rogier van Dalen / Mark Gales / Brian Strope / Chris Longworth / Masami Akamine / Li Deng / Dan Povey / James Nealand / Patrick Gosling / Mel-Frequency Cepstral Coefficients Maximum Likelihood / JUD LVCSR MAP MFCC / Phil Woodland / Michael Picheny / Kai Yu / /

Position

supervisor / suitable noise model for multistyle-trained acoustic models / / /

ProgrammingLanguage

ML / /

Technology

Speech Recognition / PDF / /

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