• DocumentCode
    3719576
  • Title

    An analysis and comparative evaluation of MFCC variants for speaker identification over VoIP networks

  • Author

    Bouziane Ayoub;Kharroubi Jamal;Zarghili Arsalane

  • Author_Institution
    Laboratory of Intelligent Systems and Applications, Faculty of Sciences and Technologies, University Sidi Mohamed Ben Abdellah, Fez, Morocco
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The aim of this paper is to evaluate, analyze and compare the performance of the most popular MFCC variants for features extraction in text-independent speaker identification over VoIP Networks. The MFCC variants were tested and evaluated under a Gaussian mixture model (GMM)-based speaker identification system, which represents the speaker modeling state-of-art approach in contemporary text-independent speaker identification systems.
  • Keywords
    "Filter banks","Mel frequency cepstral coefficient","Speech","Feature extraction","Speaker recognition"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Computer Applications Congress (WCITCA), 2015 World Congress on
  • Type

    conf

  • DOI
    10.1109/WCITCA.2015.7367018
  • Filename
    7367018
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3719576