Mandarin Prosodic Phrase Prediction based on Syntactic Trees

Zhengchen Zhang, Fuxiang Wu, Chenyu Yang, Minghui Dong, Fugen Zhou


Prosodic phrases (PPs) are important for Mandarin Text-To-Speech systems. Most of the existing PP detection methods need large manually annotated corpora to learn the models. In this paper, we propose a rule based method to predict the PP boundaries employing the syntactic information of a sentence. The method is based on the observation that a prosodic phrase is a meaningful segment of a sentence with length restrictions. A syntactic structure allows to segment a sentence according to grammars. We add some length restrictions to the segmentations to predict the PP boundaries. An F-Score of 0.693 was obtained in the experiments, which is about 0.02 higher than the one got by a Conditional Random Field based method.


DOI: 10.21437/SSW.2016-26

Cite as

Zhang, Z., Wu, F., Yang, C., Dong, M., Zhou, F. (2016) Mandarin Prosodic Phrase Prediction based on Syntactic Trees. Proc. 9th ISCA Speech Synthesis Workshop, 160-165.

Bibtex
@inproceedings{Zhang+2016,
author={Zhengchen Zhang and Fuxiang Wu and Chenyu Yang and Minghui Dong and Fugen Zhou},
title={Mandarin Prosodic Phrase Prediction based on Syntactic Trees},
year=2016,
booktitle={9th ISCA Speech Synthesis Workshop},
doi={10.21437/SSW.2016-26},
url={http://dx.doi.org/10.21437/SSW.2016-26},
pages={160--165}
}