• DocumentCode
    1693971
  • Title

    VOICED-a small dialog system

  • Author

    Urlep, I. ; Horvat, B. ; Kacic, Z.

  • Author_Institution
    Fac. of Tech. Sci., Maribor Univ., Yugoslavia
  • fYear
    1991
  • Firstpage
    1184
  • Abstract
    A small dialog system called VOICED (VOICE eDitor), which allows voice activation of editing commands, is described. The system has two main modules: the text processor and the speech recognizer. The vocabulary consists of 18 Slovene words. Each word is modeled with a five-state hidden Markov model. In the learning phase, the Baum-Welch learning algorithm is used. A recognition accuracy of 94.5% has been achieved for the speech database used
  • Keywords
    Markov processes; speech recognition; text editing; Baum-Welch learning algorithm; HMM; Slovene words; VOICED; dialog system; editing commands; five-state hidden Markov model; recognition accuracy; speech database; speech recognition; speech recognizer; text editor; text processor; voice activation; voice editor; Automata; Filters; Hidden Markov models; Quantization; Signal analysis; Speech analysis; Speech recognition; Text recognition; Vectors; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1991. Proceedings., 6th Mediterranean
  • Conference_Location
    LJubljana
  • Print_ISBN
    0-87942-655-1
  • Type

    conf

  • DOI
    10.1109/MELCON.1991.162053
  • Filename
    162053