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.

Center for Language and Speech Processing