Automatic Detection of Pronunciation Errors in CAPT Systems Based on Confidence Measure

摘要：

Computer Aided Pronunciation Training (CAPT)systems aim at listening to a learners utterance, judging the overall pronunciation quality and pointing out any pronunciation errors in the utterance.However, the performance of the current error detection techniques can not satisfy the users expectation.. In this paper,we introduce confidence measures and anti-models into the error detection algorithm.The basic theory and the roles of confidence measures and anti- models are discussed.We then propose a new algorithm, and evaluate it on an English learning system. Experiments are conducted based on the TIMIT database and an adaptive database,which involves 40 Chinese undergraduates.The results show that confidence measures can be utilized to effectively improve the performance of the CAPT system.

关键词： CAPT anti-model confidence measure.

作者: Xiaoshu Meng Zhizheng Wu Pan Huang Shuiwang Zhan Bo Zhang

作者单位: College of Software,University of NanKai,Tianjin,CHINA

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 519-523

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）