An Application of Modified Confusion Network for Improving Mispronunciation Detection in Computer-aided Mandarin Pronunciation Training

摘要：

In this paper, we propose an application of confusion network for Mandarin mispronunciation detection. Compared to former published works, which are proven to work effectively and robustly in detecting mispronunciation in word level and only successfully detect mispronunciation in sentence level in strictly small constrained search space, our modified confusion network based Computer-aided Pronunciation Training (CAPT) system is designded for exploring mispronunciation detections in sentence level with less constrained search space. Our benchmark test based on this improved CAPT system shows that in sentence level the mispronunciation detecting precision rate is up to 93％ for substituted case and 98％ for deleted and inserted cases, while the Recall rates for all three cases are above 94％.

作者: Jun Qi Ruiying Wei Runsheng Liu

作者单位: Department of Electronic Engineering, Tsinghua University, Beijing

会议类型: 国际会议

会议名称: 2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)

会议地点: 西安

会议语种:英文

页码: 1-5

在线出版日期: 2011-10-18（万方平台首次上网日期，不代表论文的发表时间）