Being able to predict the placement of contrastive accent is essential for the assignment of correct accentuation patterns in spoken language generation. I discuss two approaches to the generation of contrastive accent and propose and alternative method that is feasible and computationally attractive in data-to-speech systems.
|Title of host publication||Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and the 8th Conference of the European Chapter of the ACL, Madrid, Spain, July 7-12|
|Place of Publication||Stroudsburg|
|Publisher||Association for Computational Linguistics (ACL)|
|Publication status||Published - 1997|