Discriminative training algorithm for predictive neural network models

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks Pub Date : 1992-06-07 DOI:10.1109/IJCNN.1992.227239

Y. Liu, Y. Lee, H. Chen, G. Sun

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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预测神经网络模型的判别训练算法

提出了一种预测神经网络模型的判别训练算法。将该算法应用于一个独立于说话人的孤立数字识别实验。采用非判别算法训练分类器时的识别错误率为2.52%，采用判别算法训练分类器时的识别错误率为0.58%。分类器的识别能力也有所提高。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

[Proceedings 1992] IJCNN International Joint Conference on Neural Networks

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