• DocumentCode
    3638950
  • Title

    Neural network for single phoneme recognition based on mel-frequency cepstral coefficients coding

  • Author

    Dino Kosic

  • Author_Institution
    Faculty of Electrical Engineering, University of Banja Luka
  • fYear
    2010
  • Firstpage
    191
  • Lastpage
    192
  • Abstract
    This paper proposes novel approach in coding single phonemes based on mel-frequency cepstral coefficients (MFCC) in order to simplify the neural network used to recognize those phonemes. The efficiency and effectiveness of proposed algorithm are demonstrated for both male and female speakers.
  • Keywords
    "Cepstrum","Artificial neural networks","Encoding","Neurons","Mel frequency cepstral coefficient","Speaker recognition"
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering (NEUREL), 2010 10th Symposium on
  • Print_ISBN
    978-1-4244-8821-6
  • Type

    conf

  • DOI
    10.1109/NEUREL.2010.5644071
  • Filename
    5644071
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3638950