Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Data Acquisition & Processing》 2009-01
Add to Favorite Get Latest Update

KLD Difference-Based Statistical Error Pattern Generation for Pronunciation Quality Assessment

Liu Qingsheng,Wei Si,Hu Yu,Wang Renhua(iFlytek Speech Lab,University of Science and Technology of China,Hefei,230027,China)  
The generation algorithm for the error pattern is studied to guide the pronunciation quality assessment.The error pattern refers to rules that one phone was pronounced into another wrong one due to the influence of the speakers accent.The error pattern can be applied in CALL system to generate a compact recognition network in which the recognizer errors are reduced and the system performance is improved.Error patterns are used from linguistic knowledge,which covers the most familiar error patterns.This paper presents a KLD(Kullback-Leibler divergence) difference-based error pattern generation algorithm and the algorithm uses KLD as the distance between two models.This new algorithm measures the differences between KLDs calculated from standard models and KLDs from the accented models to generate the error pattern.Experiments prove that with the error pattern generated by the new algorithm,the system performance is improved from 0.809 to 0.826.
【Fund】: 国家语言文字工作委员会“十五”重点科研(ZDI105-B02)资助项目
【CateGory Index】: TP391.6
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved