11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Improving Mandarin Segmental Duration Prediction with Automatically Extracted Syntax Features

Miaomiao Wen, Miaomiao Wang, Keikichi Hirose, Nobuaki Minematsu

University of Tokyo, Japan

Previous researches have indicated the relevance between segmental duration and syntax information, but the usefulness of syntax features have not been thoroughly studied for predicting segmental duration. In this paper, we design two sets of syntax features to improve Mandarin phone and pause duration prediction respectively. Instead of using manually extracted syntacx information as previous researches do, we acquire these syntax features from an automatic Chinese syntax parser. Results show that even though the automatically extracted syntax information has limited precision; it could still improve Mandarin segmental duration prediction.

Full Paper

Bibliographic reference.  Wen, Miaomiao / Wang, Miaomiao / Hirose, Keikichi / Minematsu, Nobuaki (2010): "Improving Mandarin segmental duration prediction with automatically extracted syntax features", In INTERSPEECH-2010, 2178-2181.