This paper addresses the problem of predicting contrastive accent in spoken language generation. The common strategy of accenting 'new' and deaccenting 'old' information is not sufficient to achieve correct accentuation: generation of contrastive accent is required as well. I will discuss a few approaches to the prediction of contrastive accent, and propose a practical solution which avoids the problems these approaches are faced with. These issues are discussed in the context of GoalGetter, a data-to-speech system which generates spoken reports of football matches on the basis of tabular information.
|Number of pages||14|
|Publication status||Published - Nov 1996|
|Event||7th Meeting on Computational Linguistics in the Netherlands, CLIN 1996 - Institute for Perception Research (IPO), Eindhoven, Netherlands|
Duration: 15 Nov 1996 → 15 Nov 1996
Conference number: 7
|Conference||7th Meeting on Computational Linguistics in the Netherlands, CLIN 1996|
|Period||15/11/96 → 15/11/96|
Theune, M. (1996). GoalGetter: predicting contrastive accent in data-to-speech generation. 177-190. Paper presented at 7th Meeting on Computational Linguistics in the Netherlands, CLIN 1996, Eindhoven, Netherlands.