Old and new work in discriminative training of acoustic models – Daniel Povey (IBM TJ Watson Research Center)

April 12, 2005 all-day

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I will give a general review on the subject of discriminative training of acoustic models, with special emphasis on MPE. I will then describe fMPE, which is a more recent discriminative training technique developed at IBM. It is a feature-space transformation that is trained by maximizing the MPE criterion.

Johns Hopkins University

Johns Hopkins University, Whiting School of Engineering

Center for Language and Speech Processing
Hackerman 226
3400 North Charles Street, Baltimore, MD 21218-2680

Center for Language and Speech Processing