西华大学学报（自然科学版）Issue(2)：17-21,5.DOI:10.3969/j.issn.1673-159X.2014.02.004
普通话智能测试系统的语音识别网络研究
Research on Speech Recognition Network in Putonghua Level Test System
摘要
Abstract
The existing computer-aided system uses the algorithm of HMM based log posterior probability to judge the tester's pro-nunciation , but the confusion between HMM models is big .In order to improve the validity and reliability of the system , the author re-constructs the recognition network in algorithm based on the introduction of linguistic knowledge of Putonghua pronunciation , and opti-mizes the probability spaces in algorithm .Experimental results indicate that the improved recognition networks can not only significantly reduce the system's operation time, but also effectively reduce the probability space impact on scoring , and improve the system of eval-uating performance .关键词
普通话水平测试/语音识别网络/后验概率/语言学知识Key words
Putonghua level test/speech recognition network/posterior probability/linguistic knowledge分类
信息技术与安全科学引用本文复制引用
陈彩华..普通话智能测试系统的语音识别网络研究[J].西华大学学报（自然科学版）,2014,(2):17-21,5.基金项目
湖南省“十二五”规划课题基金项目（XJKO12BYWO13A）。 （）
