• DocumentCode
    1950759
  • Title

    What Speech Tells Us About Discourse: The Role of Prosodic and Discourse Features in Speech Act Classification

  • Author

    Hoque, Mohammed E. ; Sorower, Mohammad S. ; Yeasin, Mohammed ; Louwerse, Max M.

  • Author_Institution
    Inst. for Intelligent Syst., Memphis
  • fYear
    2007
  • fDate
    12-17 Aug. 2007
  • Firstpage
    2999
  • Lastpage
    3004
  • Abstract
    This paper explores the relative importance of discourse features, prosodic features and their fusion in robust classification of speech acts. Five different feature selection algorithms were used to select set of features to improve the robustness of the classification. The results showed that the ensemble-based classifiers performed best in the classification of 12 speech acts using subsets of both prosodic and discourse features.
  • Keywords
    speech recognition; speech synthesis; feature selection algorithm; prosodic feature; speech act classification; speech recognition; Availability; Biomedical engineering; Humans; Intelligent systems; Neural networks; Pattern analysis; Psychology; Robustness; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2007. IJCNN 2007. International Joint Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1379-9
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2007.4371438
  • Filename
    4371438