Prosodic modelling is presented as a two-part process. In the first part, predictor variables are identified on the basis of psycholinguistic factors that determine word grouping. In the second part, these and intrinsic-contextual linguistic factors generate predictions for durational and melodic assignment. It is argued that data-driven approaches can be rendered more efficient by introducing and respecting psycholinguistic principles of human prosodic processing. This study summarises thinking developed conjointly in our laboratory since 1993, as well as portions of the second authors thesis (Zellner, 1998).
Zellner, B. (1998). Caractérisation et prédiction du débit de parole en français. Une étude de cas. Thèse de Doctorat. Faculté des Lettres, Université de Lausanne.
Cite as: Keller, E., Zellner, B. (1998) Motivations for the prosodic predictive chain. Proc. 3rd ESCA/COCOSDA Workshop on Speech Synthesis (SSW 3), 137-142
@inproceedings{keller98_ssw,
author={Eric Keller and Brigitte Zellner},
title={{Motivations for the prosodic predictive chain}},
year=1998,
booktitle={Proc. 3rd ESCA/COCOSDA Workshop on Speech Synthesis (SSW 3)},
pages={137--142}
}