Title :
Improved Mandarin segmental duration prediction with automatically extracted syntax features
Author :
Wen, Miaomiao ; Wang, Miaomiao ; Hirose, Keikichi ; Minematsu, Nobuaki
Author_Institution :
Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
Abstract :
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 syntax 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.
Keywords :
computational linguistics; feature extraction; speech processing; Mandarin phone; pause duration prediction; segmental duration; syntax feature extraction; syntax information; Correlation; Decision trees; Feature extraction; Predictive models; Speech; Speech processing; Syntactics; Speech synthesis; segmental duration; syntax feature;
Conference_Titel :
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5897-4
DOI :
10.1109/ICOSP.2010.5656843