Pronunciation Quality Scoring for Single Syllable Word in PSC

摘要：

This paper discusses pronunciation quality scoring for single syllable word in Putonghua Shuiping Ceshi (PSC) that is a nationwide spoken test to evaluate the standard level and the practical ability that an individual uses the mandarin in china.This study mainly includes some algorithms about the syllable separation,acoustic units selection,posterior probability scoring,threshold values setting and neural network combination.Experiment shows that the proposed approach achieves a high correlation of 0.731,a value very close to 0.786 between human experts.It is also observed that the combination method of neural network gets the best evaluation result.This method is eligible for the automatic scoring in PSC.

关键词： pronunciation quality Scoring single syllable word PSC neural network HMM automatic machine scoring

作者: Long Zhang Haifeng Li Jianhua Wang

作者单位: School of Computer Science and Technology,Harbin Institute of Technology Harbin,Heilongjiang,China C School of Computer Science and Technology,Harbin Institute of Technology Harbin,Heilongjiang,China College of Computer Science and Information Engineering,Harbin Normal University Harbin,Heilongjiang

会议类型: 国际会议

会议名称: 2010 4th International Conference on Intelligent Information Techonlogy Application(第四届智能信息技术应用国际学术研讨会 IITA 2010)

会议地点: 秦皇岛

会议语种:英文

页码: 295-298

在线出版日期: 2010-11-05（万方平台首次上网日期，不代表论文的发表时间）