基于模糊矢量量化(FVQ)普通话等级测试模型研究  

Studies on the model of common spoken Chinese tests based on fuzzy clustering vector quantization

作　　者：卢昌荆[1] 王红雨[1] 廖逢钗[1] 张诚一[2] 

机构地区：[1]三明学院数学与计算机科学系,福建三明365004 [2]海南师范大学计算机科学系,海南海口571158

出　　处：《海南师范学院学报（自然科学版）》2007年第4期316-320,338,共6页Journal of Hainan Normal University:Natural Science

基　　金：福建省教育厅科技项目(JB02192);三明学院重点学科建设基金资助项目(ZDXK0604)

摘　　要：应用模糊聚类矢量量化技术,构造了普通话等级测试模型,以对实现计算机自动评判普通话等级测试系统软件进行开发,并在此模型的指导下按原型法进行了实际开发,经初步试验测试,获得了较好的实验结果.The authors set up the model of common spoken Chinese tests through the use of fuzzy clustering vector quantization. It is significant and meaningful to develop the software of common spoken Chinese tests automatically evaluated by computers. Under this model instruction, the actual development was conducted according to the prototype model and a better experimental result was obtained after the preliminary experimental test.

关 键 词：模糊聚类 矢量量化 普通话等级测试 模型 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]