• DocumentCode
    1634082
  • Title

    Evolutionary algorithm for speech segmentation

  • Author

    Milone, D.H. ; Merelo, J.J. ; Rufiner, H.L.

  • Author_Institution
    Cybern. Lab., Nat. Univ. of Entre Rios, Argentina
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1115
  • Lastpage
    1120
  • Abstract
    Speech segmentation is one of the problems in the speech processing area. The main techniques that attempt to solve it are manual segmentation and hidden Markov model alignment. In this work a new technique based on an evolutionary algorithm that permits to segment the speech without a previous training process is presented
  • Keywords
    evolutionary computation; hidden Markov models; speech processing; HMM; evolutionary algorithm; hidden Markov model; speech distance measurements; speech processing; speech segmentation; training process; Automatic speech recognition; Evolutionary computation; Hidden Markov models; Image segmentation; Manuals; Signal processing; Signal sampling; Speech analysis; Speech processing; Speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1004399
  • Filename
    1004399
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1634082