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Topic-based language models using EM

Published • Sep 5, 1999
NobleIDNI4P11W21R54S10
Authors:
Daniel Gildea
,
Thomas Hofmann

Abstract

The performance of global affine and nonlinear transformations for speaker adaptation in a hidden Markov model (HMM) speech recognition system are compared in this paper. The nonlinear transformation was obtained with a multilayer perceptron network (MLP) which was trained during the adaptation proc...

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