• DocumentCode
    134279
  • Title

    Investigating effect of rich syntactic features on Mandarin prosodic phrase boundaries prediction

  • Author

    Hao Che ; Zhengqi Wen ; Ya Li ; Jianhua Tao

  • Author_Institution
    Inst. of Autom., Beijing, China
  • fYear
    2014
  • fDate
    12-14 Sept. 2014
  • Firstpage
    501
  • Lastpage
    505
  • Abstract
    Previous researches indicated that the performance of automatic prosodic boundaries prediction benefited from syntactic information for Mandarin. However, few researches focused on the usefulness of various syntactic features on different phrase boundaries prediction detailly, especially on large-scale corpus. This paper investigates the effect of different syntactic features combinations for prosodic phrase boundaries prediction based on a large-scale Mandarin corpus. The experimental results shows that prediction models of prosodic word and prosodic phrase achieve best performance with syntactic phrase and dependency features. Different from other two types of boundaries, the models with dependency features outperform than models with other features when prediction object is intonational phrase.
  • Keywords
    feature extraction; speech synthesis; Mandarin prosodic phrase boundaries prediction; dependency feature; intonational phrase; large-scale Mandarin corpus; prediction object; prosodic phrase; prosodic word; rich syntactic features; syntactic information; syntactic phrase feature; Hidden Markov models; IP networks; Labeling; Pragmatics; Predictive models; Speech; Syntactics; dependency features; prosodic phrase boundaries; rich syntactic features; syntactic phrase features;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Chinese Spoken Language Processing (ISCSLP), 2014 9th International Symposium on
  • Conference_Location
    Singapore
  • Type

    conf

  • DOI
    10.1109/ISCSLP.2014.6936672
  • Filename
    6936672