The Study of Tibetan Prosodic Structure Prediction Model

摘要：

Prosodic structure prediction plays a crucial role on the prosodic annotation of speecb synthesis corpus as well as on improving the naturalness of synthesized speech. The paper studies Tibetan prosodic structure with Tibetan speech characteristics. Having analyzed a variety of variables that have an impact on Tibetan prosodic boundary, we obtain syllable boundary grammatical information, prosodic environmental information and other parameters which affecting prosodic boundary types as the model prediction variables. The decision tree algorithm is used to establish prosodic structure prediction model that can predict prosodic words and prosodic phrase such two prosodic structures. Its input parameters are predicting variables while the output of the target variable is for the prosodic boundary type. The model is evaluated by news annotation corpus, experiment results show good results: in the training set of 3000 sentence, the accuracy rate of prosodic word is 89.57％, the recall rate of that is 91.22％; accuracy rate of prosodic phrase is 87.20％, the recall rate is 88.92％.

关键词： Tibetan prosodic structure prediction decision tree

作者: Yu Hongzhi Chen Chen Chen Qi Shi Jing

作者单位: Key Lab of National Linguistic Information Technology Northwest University for Nationalities Lanzhou, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 645-648

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）