• DocumentCode
    3227446
  • Title

    TDNN based speaker identification

  • Author

    Berger, Gary L. ; Gowdy, John N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Clemson Univ., SC, USA
  • fYear
    1993
  • fDate
    7-9 Mar 1993
  • Firstpage
    396
  • Lastpage
    399
  • Abstract
    A spatio-temporal network the time delay neural network (TDNN) is considered. Because the TDNN is time-shift invariant, input patterns do not need to be aligned. Also, the TDNN uses temporal information in its mapping process. Experimental results show that a TDNN-based speaker identification outperforms a weighted-distance-measure-based speaker identification system that does not use temporal information
  • Keywords
    delay circuits; learning (artificial intelligence); neural nets; speaker recognition; temporal reasoning; mapping; spatio-temporal network; speaker identification; temporal information; time delay neural network; Backpropagation; Biological system modeling; Brain modeling; Data mining; Feature extraction; Linear predictive coding; Neural networks; Pattern classification; Speech; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1993. Proceedings SSST '93., Twenty-Fifth Southeastern Symposium on
  • Conference_Location
    Tuscaloosa, AL
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-3560-6
  • Type

    conf

  • DOI
    10.1109/SSST.1993.522810
  • Filename
    522810
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3227446