Enhancing Posterior Based Speech Recognition Systems

Abstract

The use of local phoneme posterior probabilities has been increasingly explored for improving speech recognition systems. Hybrid hidden Markov model / artificial neural network (HMM/ANN) and Tandem are the most successful examples of such systems. In this thesis, we present a principled framework for enhancing the estimation of local posteriors, by… (More)

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Cite this paper

@inproceedings{Ketabdar2008EnhancingPB, title={Enhancing Posterior Based Speech Recognition Systems}, author={Hamed Ketabdar}, year={2008} }