计算机工程与应用2009，Vol.45Issue(22)：200-201,205,3.DOI:10.3778/j.issn.1002-8331.2009.22.064
基于SOM神经网络和支持向量机的方言辨识
Dialect identification based on SOM and SVM
摘要
Abstract
A Chinese dialect identification system based on a mixed SOM neural network and SVM is proposed in this paper. Hunan dialects have been selected as the research object.SOM is applied to cluster for the MFCC of various dialects,and SVM is used as the final implement of decision and identification.The results show that this system has better real-time property and identification rate than the conventional methods especially at a low signal-to-noise ratio.关键词
方言辨识/SOM 神经网络/支持向量机Key words
dialect identification/SOM neural network/Support Vector Machine(SVM)分类
信息技术与安全科学引用本文复制引用
朱颖,钱盛友,赵新民..基于SOM神经网络和支持向量机的方言辨识[J].计算机工程与应用,2009,45(22):200-201,205,3.基金项目
湖南省教育厅资助科研项目(No.06C517). （No.06C517）
