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Progress in example based automatic speech recognition

Published • May 1, 2011
NobleIDNI7P59W94R02S37
Authors:
Kris Demuynck
,
Dino Seppi
,
Hugo Van hamme

Abstract

In this paper we present a number of improvements that were recently made to the template based speech recognition system developed at ESAT. Combining these improvements resulted in a decrease in word error rate from 9.6% to 8.2% on the Nov92, 20k trigram, Wall Street Journal task. The improvements ...

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