• DocumentCode
    867583
  • Title

    An event-driven f0 weighting for prosody control in a large corpus-based TTS system

  • Author

    Byeon, Heo-Jin ; Oh, Yung-Hwan

  • Author_Institution
    Comput. Sci. Div., Korea Adv. Inst. of Sci. & Technol., Daejon, South Korea
  • Volume
    11
  • Issue
    2
  • fYear
    2004
  • Firstpage
    262
  • Lastpage
    265
  • Abstract
    This letter presents event-driven weighting methods concentrating on f0 for prosody control in a large corpus-based text-to-speech (TTS) system. We determine the f0 weighting factor for a given target using its linguistic features by automatically using classification and regression trees (CART). The target predicted as perceptually important is weighted more than others. This results in more natural synthetic speech from a prosodic viewpoint.
  • Keywords
    fault trees; linguistics; regression analysis; speech synthesis; CART; classification and regression tree; event-driven f0 weighting factor; large corpus-based text-to-speech system; linguistic feature; natural synthetic speech; prosodic viewpoint; prosody control; target prediction; Automatic control; Classification tree analysis; Control system synthesis; Control systems; Cost function; Decision trees; Natural languages; Regression tree analysis; Speech synthesis; Weight control;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2003.821684
  • Filename
    1261995
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=867583