The Automatic Prediction of Chinese Texts Prosodic Structure Based on Tree Structure

摘要：

The recognition of prosodic structure is an important research aspect in the field of Text-to-Speech. It is essential to improving the naturalness of machine-synthesized speech. This paper proposes an approach to predicting and assigning prosodic structure automatically for Chinese sentences based on their tree structures. It presents the modeling of a statistical language model based on the simply handled corpus, the generation arithmetic of trees, and the method for predicting prosodic boundaries based on tree structures. The experimental results show that this tree-based method is effective, and it can obtain good prediction results.

关键词： prosodic structure boundary tree structure statistical model

作者: Yili QIAN

作者单位: College of Computer Science and Information Technology Shanxi University Taiyuan, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 99-103

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）