• DocumentCode
    3421379
  • Title

    Improved Mandarin segmental duration prediction with automatically extracted syntax features

  • Author

    Wen, Miaomiao ; Wang, Miaomiao ; Hirose, Keikichi ; Minematsu, Nobuaki

  • Author_Institution
    Dept. of Electr. Eng. & Inf. Syst., Univ. of Tokyo, Tokyo, Japan
  • fYear
    2010
  • fDate
    24-28 Oct. 2010
  • Firstpage
    621
  • Lastpage
    624
  • Abstract
    Previous researches have indicated the relevance between segmental duration and syntax information, but the usefulness of syntax features have not been thoroughly studied for predicting segmental duration. In this paper, we design two sets of syntax features to improve Mandarin phone and pause duration prediction respectively. Instead of using manually extracted syntax information as previous researches do, we acquire these syntax features from an automatic Chinese syntax parser. Results show that even though the automatically extracted syntax information has limited precision; it could still improve Mandarin segmental duration prediction.
  • Keywords
    computational linguistics; feature extraction; speech processing; Mandarin phone; pause duration prediction; segmental duration; syntax feature extraction; syntax information; Correlation; Decision trees; Feature extraction; Predictive models; Speech; Speech processing; Syntactics; Speech synthesis; segmental duration; syntax feature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing (ICSP), 2010 IEEE 10th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5897-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2010.5656843
  • Filename
    5656843