• DocumentCode
    2829045
  • Title

    Emotion Statuses Recognition of Speech Signal Using Transitive Closure

  • Author

    Yan, Tao Xiang ; Zeng, Xiu Hua ; Bi, Fu Kun

  • Author_Institution
    QuJing Normal Univ., Qujing, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The paper introduced the way of transitive closure to dispose the speech emotion recognition. Transitive closure is a basic method of fuzzy clustering analysis, and the clustering of it grounds on the fuzzy equivalent matrix. The result is big affected by the threshold ¿, and in the paper we introduce the way of F-test to estimate the optimal threshold. According to the experiment result, we can come to the truth that the transitive closure is an effective way for the speech emotion recognition.
  • Keywords
    matrix algebra; pattern clustering; speech recognition; emotion statuses recognition; fuzzy clustering analysis; fuzzy equivalent matrix; speech emotion recognition; speech signal; transitive closure; Clustering methods; Decision making; Emotion recognition; Fuzzy logic; Fuzzy systems; Information science; Iterative methods; Speech analysis; Speech recognition; Standardization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5364015
  • Filename
    5364015