计算机工程与应用2011，Vol.47Issue(33)：109-111,3.DOI:10.3778/j.issn.1002-8331.2011.33.032
半监督矢量量化的汉语方言辨识
Chinese dialect identification based on semi-supervised vector quantization
摘要
Abstract
This paper presents a noval code model in Chinese dialect identification.This method takes advantage of semi-supervised thought to quantitate speech data and forms a code model with supervision information.It effectively solves the problem of low precision code and improves system recognition rate.Experimental results prove that the method with supervision information is superior to traditional LBG quantitation method.For three Chinese dialect,the system can achieve a high accuracy of 94.23% and raise the rate of correct identification about 13% compared with traditional code system.关键词
方言辨识/半监督码本/矢量量化Key words
dialect identification/semi-supervised code/vector quantization分类
信息技术与安全科学引用本文复制引用
顾明亮,张彪..半监督矢量量化的汉语方言辨识[J].计算机工程与应用,2011,47(33):109-111,3.基金项目
国家社会科学基金重点资助项目(No.01AYY004) （No.01AYY004）
江苏省"十五"社科基金资助项目(No.K3-013) （No.K3-013）
江苏省高校自然科学基金资助项目(No.99KJB510002) （No.99KJB510002）
徐州师范大学重大培育资助项目. （）
