{"title":"Discriminative training algorithm for predictive neural network models","authors":"Y. Liu, Y. Lee, H. Chen, G. Sun","doi":"10.1109/IJCNN.1992.227239","DOIUrl":null,"url":null,"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.<<ETX>>","PeriodicalId":286849,"journal":{"name":"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"[Proceedings 1992] IJCNN International Joint Conference on Neural Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IJCNN.1992.227239","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
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.<>
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