• DocumentCode
    686335
  • Title

    Text material design for fuzzy emotional speech corpus based on persian semantic and structure

  • Author

    Savargiv, Mohammad ; Bastanfard, Azam

  • Author_Institution
    Fac. of Electr., Comput. & IT Eng., Islamic Azad Univ., Qazvin, Iran
  • fYear
    2013
  • fDate
    6-8 Dec. 2013
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    The prerequisites to study in subjects, such as recognition and classification of speech emotional states are existence and having access to the appropriate dataset. The importance of dataset increases when data collection illustrates the Fuzzy behavior. The Fuzzy behavior of dataset is manner that the membership of a sample to a set is non-deterministic. The emotional speech datasets are such data collections that show Fuzzy behavior. Hence in this study the major challenges of designing and creating an emotional speech corpus, are reviewed and some solutions are presented to solve text material challenges by using fuzzy approach.
  • Keywords
    data analysis; fuzzy set theory; speech processing; Persian semantic; Persian structure; data collection; emotional speech datasets; fuzzy emotional speech corpus; nondeterministic set; speech classification; speech recognition; text material design; Emotion recognition; Materials; Noise measurement; Speech; Speech recognition; US Department of Transportation; Emotional speech corpus; Fuzzy behavior; Fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on
  • Conference_Location
    Taipei
  • Type

    conf

  • DOI
    10.1109/iFuzzy.2013.6825469
  • Filename
    6825469