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