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Discriminative Training of Acoustic Models - From MPE to fMPE

Center for Language & Speech Processing(CLSP), JHU via YouTube

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Learn about discriminative training of acoustic models in this 37-minute lecture from IBM researcher Daniel Povey at Johns Hopkins University's Center for Language & Speech Processing. Gain insights into Maximum Mutual Information Estimation (MPE) techniques and discover fMPE, an innovative feature-space transformation method developed at IBM that maximizes the MPE criterion for acoustic model training.

Syllabus

Old and new work in discriminative training of acoustic models – Daniel Povey (IBM) - 2005

Taught by

Center for Language & Speech Processing(CLSP), JHU

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