• DocumentCode
    3619231
  • Title

    Feature selection for the prosody modelling of synthetic speech

  • Author

    J. Tuckova;V. Sebesta

  • Author_Institution
    Fac. of Electr. Eng., Czech Tech. Univ., Prague, Czech Republic
  • Volume
    3
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    1270
  • Abstract
    Communication problems between human and computers are in the centre of interest of the experts from several domains. The quality of the synthetic speech is the main reason, why they must take into account not only technical equipment but also phonetic and phonological rules. Several years ago only the ability to understand was the main goal of speech synthesizers, whereas today synthesizers output must be as close to natural language as possible. It is a very difficult task to fulfil this requirement because the speech signal is the conjunction of several influences, physiological, technical and linguistic ones. The last two domains are the subjects of this paper.
  • Keywords
    "Speech analysis","Natural languages","Speech processing","Speech synthesis","Synthesizers","Neural networks","Data mining","Frequency","Computer science","Transportation"
  • Publisher
    ieee
  • Conference_Titel
    Industrial Technology, 2004. IEEE ICIT ´04. 2004 IEEE International Conference on
  • Print_ISBN
    0-7803-8662-0
  • Type

    conf

  • DOI
    10.1109/ICIT.2004.1490743
  • Filename
    1490743