• DocumentCode
    431254
  • Title

    Context-Dependent Duration Modeling

  • Author

    Willett, Daniel

  • Author_Institution
    Temic Speech Dialog Syst., Ulm, Germany
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    421
  • Lastpage
    424
  • Keywords
    Viterbi decoding; hidden Markov models; speech recognition; 1-best Viterbi decoder; conditional duration probabilities; connected digit recognition; context-dependent duration model; duration-dependent density functions; first-order HMM-based speech recognizer; hidden Markov models; relative word error reduction; Context modeling; Decoding; Density functional theory; Distribution functions; Hidden Markov models; Probability distribution; Solid modeling; Speech recognition; Topology; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1415140
  • Filename
    1415140
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431254