In this paper, we present ongoing work on prosody prediction for speech synthesis. Our approach considers sentences as treelike structures and decides on the prosody from a corpus of such structures through tree similarity measurements in a nearest neighbour context. We introduce a syntactic structure and a performance structure representation, the tree similarity metrics considered, and then we discuss the prediction method. Experiments are currently under process to qualify this approach.
Cite as: Blin, L., Edgington, M. (2000) Prosody prediction using a tree-structure similarity metric. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 183-186, doi: 10.21437/ICSLP.2000-508
@inproceedings{blin00_icslp,
author={Laurent Blin and Mike Edgington},
title={{Prosody prediction using a tree-structure similarity metric}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 3, 183-186},
doi={10.21437/ICSLP.2000-508}
}