计算机工程与应用2017，Vol.53Issue(8)：250-253,266,5.DOI:10.3778/j.issn.1002-8331.1510-0263
分层特征模板筛选的维吾尔语韵律边界预测
Uyghur prosodic boundary prediction based on hierarchical feature template selection
摘要
Abstract
Accurate prediction of prosodic boundary is a very important task in an arbitrary Text-To-Speech(TTS)system. A two-layer bottom-up hierarchical approach based on conditional random fields is used to predict prosodic word and pro-sodic phrase boundaries according to the prosodic hierarchy of Uyghur language. Morphological features are also integrated into the feature sets which are used to train the prosodic boundary prediction model. In order to further enhance the accuracy of prosodic boundary prediction, a two-layer bottom-up hierarchical approach is improved by selecting independent feature sets at every layer according to the different prosodic boundary structure of corresponding layer. Consequently, the best prosodic boundary prediction performance is achieved by extensive and repeated experiment with different feature sets and different models. Experimental results show that the proposed method obviously improves the prediction of prosodic boundary.关键词
维吾尔语/韵律边界/分层预测/独立特征模板/形态特征Key words
Uyghur language/prosodic boundary/hierarchical prediction/independent feature template/morphological feature分类
信息技术与安全科学引用本文复制引用
姑丽加玛丽·麦麦提艾力,艾斯卡尔·肉孜,艾斯卡尔·艾木都拉..分层特征模板筛选的维吾尔语韵律边界预测[J].计算机工程与应用,2017,53(8):250-253,266,5.基金项目
国家自然科学基金(No.61462087) （No.61462087）
新疆维吾尔自治区高校科研计划基金(No.XJEDU2013S27) （No.XJEDU2013S27）
新疆师范大学博士博士后科研启动基金(No.XJNUBS1308). （No.XJNUBS1308）
