DocumentCode :
3250973
Title :
Discriminative training algorithm for predictive neural network models
Author :
Liu, Yadong ; Lee, Yee-Chun ; Chen, Hsing-Hen ; Sun, Guo-Zheng
Author_Institution :
Maryland Univ., College Park, MD, USA
Volume :
4
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
685
Abstract :
A discriminative training algorithm for predictive neural network models is proposed. The algorithm is applied to a speaker independent isolated digit recognition experiment. The recognition error rate is reduced from 2.52% when the classifier is trained with a non-discriminative algorithm to 0.58% when the discriminative algorithm is applied. The increase in classifier discrimination ability is also demonstrated
Keywords :
learning (artificial intelligence); neural nets; speech recognition; classifier discrimination; discriminative training algorithm; predictive neural network models; speaker independent isolated digit recognition; Classification algorithms; Educational institutions; Error analysis; Neural networks; Physics; Prediction algorithms; Predictive models; Speech analysis; Speech recognition; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.227239
Filename :
227239
Link To Document :
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