• DocumentCode
    1696553
  • Title

    Isolated Malayalam digit recogntion using Support Vector Machines

  • Author

    Kurian, Cini ; Firoz Shah, A. ; Balakrishnan, Kannan

  • Author_Institution
    Dept. of Comput. Applic., Cochin Univ. of Sci. & Technol., Cochin, India
  • fYear
    2010
  • Firstpage
    692
  • Lastpage
    695
  • Abstract
    Voice is the natural communication system used by all beings, human beings in particular. Understanding and recognizing human uttered voice for various applications is the core technology of "information" age. Automatic speech recognition has wide spread applications in real life situations. Here speech recognition of Malayalam isolated digit is created by using Mel Frequency Cepstral Coefficients (MFCC) and Support Vector Machines. (SVM).
  • Keywords
    cepstral analysis; natural language processing; speech recognition; support vector machines; automatic speech recognition; isolated Malayalam digit recognition; mel frequency cepstral coefficients; natural communication system; support vector machines; Computational modeling; Discrete Fourier transforms; Mel frequency cepstral coefficient; Rails; Speech; Speech processing; Malayalam language; Mel Frequency Cepstral coefficient; Speech recognition; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Control and Computing Technologies (ICCCCT), 2010 IEEE International Conference on
  • Conference_Location
    Ramanathapuram
  • Print_ISBN
    978-1-4244-7769-2
  • Type

    conf

  • DOI
    10.1109/ICCCCT.2010.5670751
  • Filename
    5670751
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1696553