Being able to predict the placement of con- trastive accent is essential for the assign- ment of correct accentuation patterns in spoken language generation. I discuss two approaches to the generation of contrastive accent and propose an alternative method that is feasible and computationally at- tractive in data-to-speech systems. 1 Motivation The placement of pitch accent plays an important role in the interpretation of spoken messages. Utter- antes having the same surface structure but a differ- ent accentuation pattern may express very different meanings. A generation system for spoken language should therefore be able to produce appropriate ac- centuation patterns for its output messages. One of the factors determining accentuation is contrast. Its importance canbe illustrated with al...

Click Here to View the Paper In XML Format