Contrastive accent in a data-to-speech system

M. Theune

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)


    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.
    Original languageEnglish
    Title of host publicationProceedings 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 PublicationStroudsburg
    PublisherAssociation for Computational Linguistics (ACL)
    Publication statusPublished - 1997


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