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Generalized Discriminative Training for Speech Recognition

By Roger Hsiao, Alan Black and Florian Metze

Abstract

for the degree of Doctor of Philosophy. Copyright c ○ 2010 Roger HsiaoKeywords: Speech recognition, discriminative trainingTo Him and my family, ivrithm for hidden Markov model (HMM). The GBW formulation shows the heuristics and the smoothing techniques used by the EBW algorithm can be expressed as some distance based regularization in the optimization problem. The GDFT algorithm transforms the constrained maximum likelihood regression (CMLLR) algorithm to perform feature space discriminative training. Its formulation shows there are efficient ways to combine model space and feature space discriminative training. vi Abbreviations AS

Topics: Boosted Maximum Mutual Information
Year: 2010
OAI identifier: oai:CiteSeerX.psu:10.1.1.185.137
Provided by: CiteSeerX
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