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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