• DocumentCode
    3246471
  • Title

    Expressive speech synthesis using American English ToBI: questions and contrastive emphasis

  • Author

    Pitrelli, John E. ; Eide, Ellen M.

  • Author_Institution
    IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
  • fYear
    2003
  • fDate
    30 Nov.-3 Dec. 2003
  • Firstpage
    694
  • Lastpage
    699
  • Abstract
    We describe American English concatenative text-to-speech synthesis experiments in which "expressions", namely questioning and contrastive emphasis, are each associated with a ToBI prosodic template. ToBI labels, along with text features, are in turn incorporated into decision-tree models of F0 and segment duration to be used during synthesis, sparing the need for expression-specific large corpora and decision trees. Synthesizing using this approach enables listeners to perform the difficult task of distinguishing yes-no questions from identically-worded declarative sentences 78% of the time, compared to the baseline system\´s 50%. For contrastive emphasis, a sentence is synthesized with emphasis on a word which is chosen appropriately or inappropriately based on a preceding sentence. Listeners\´ mean opinion scores for appropriate emphases exceed inappropriate by 0.40 on a 1-to-5 scale for the experimental system, compared to a difference of 0.11 for the baseline, a significant system difference (p<0.01).
  • Keywords
    decision trees; learning (artificial intelligence); linguistics; speech synthesis; American English prosodic template; concatenative text-to-speech synthesis; contrastive emphasis; decision trees; decision-tree models; expression-specific corpora; expressive speech synthesis; learning; linguistic framework; questioning; segment duration; Acoustics; Context modeling; Costs; Decision trees; Dictionaries; Humans; Large-scale systems; Speech processing; Speech synthesis; Synthesizers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automatic Speech Recognition and Understanding, 2003. ASRU '03. 2003 IEEE Workshop on
  • Print_ISBN
    0-7803-7980-2
  • Type

    conf

  • DOI
    10.1109/ASRU.2003.1318524
  • Filename
    1318524