GoalGetter: predicting contrastive accent in data-to-speech generation

M. Theune

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review


    This paper addresses the problem of predicting contrastive accent in spoken language generation. The common strategy of accenting ‘new’ and deaccent ing ‘old’ information is not sufficient to achieve correct accentuation; genera tion 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 dis cussed in the context of GoalGetter, a data-to-speech system which generates spoken reports of football matches on the basis of tabular information.
    Original languageEnglish
    Title of host publicationComputational linguistics in the Netherlands 1996: Papers from the Seventh CLIN Meeting
    EditorsJ. Landsbergen, J. Odijk, K. Deemter, van, G. Veldhuijzen van Zanten
    Place of PublicationEindhoven
    PublisherTechnische Universiteit Eindhoven
    Number of pages14
    ISBN (Print)90-386-1051-3
    Publication statusPublished - 1997
    Eventconference; 7th CLIN meeting -
    Duration: 1 Jan 1997 → …


    Conferenceconference; 7th CLIN meeting
    Period1/01/97 → …
    Other7th CLIN meeting


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