• DocumentCode
    3646297
  • Title

    Speaker verification using various prosodic kernels

  • Author

    Szymon Drgas;Dariusz Zamorski;Adam Dąbrowski

  • Author_Institution
    Poznan University of Technology, Chair of Control and Systems Engineering, ul. Piotrowo 3a, PL-60 965 Poznan Poland
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this article text independent speaker verification problem is considered. The approach in which SVM and prosodic features are employed has been chosen. Prosodic features are modelled by Legendre polynomials. In order to map a sequence of prosodic vectors to fixed dimensional vector three kernels were used: VQ kernel, GMM supervector kernel and Fisher kernel. These three kernels were compared and its combination was evaluated.
  • Keywords
    "Kernel","Training","Vectors","Support vector machines","Speech","Polynomials","Feature extraction"
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Algorithms, Architectures, Arrangements, and Applications Conference Proceedings (SPA), 2011
  • Print_ISBN
    978-1-4577-1486-3
  • Type

    conf

  • Filename
    6190956
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3646297