We describe experiments designed to learn associations between two types of intonational features, pitch accent and phrasing, from a tree-based corpus annotated with various intonational and syntactic features, for a concept-to-speech system. We show that using novel tree-based features improves the quality of boundary prediction over using only the linear order-based features normally used in text-to-speech.
Cite as: Hirschberg, J., Rambow, O. (2001) Learning prosodic features using a tree representation. Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001), 1175-1178, doi: 10.21437/Eurospeech.2001-307
@inproceedings{hirschberg01_eurospeech,
author={Julia Hirschberg and Owen Rambow},
title={{Learning prosodic features using a tree representation}},
year=2001,
booktitle={Proc. 7th European Conference on Speech Communication and Technology (Eurospeech 2001)},
pages={1175--1178},
doi={10.21437/Eurospeech.2001-307}
}