• DocumentCode
    431196
  • Title

    Minimum Classification Error for Large Scale Speech Recognition Tasks using Weighted Finite State Transducers

  • Author

    McDermott, Erik ; Katagiri, Shigeru

  • Author_Institution
    NTT Commun. Sci. Labs., NTT Corp., Kyoto, Japan
  • Volume
    1
  • fYear
    2005
  • fDate
    March 18-23, 2005
  • Firstpage
    113
  • Lastpage
    116
  • Keywords
    decision trees; learning (artificial intelligence); minimisation; signal classification; speech recognition; MCE training; acoustic models; audio training set; discriminative training; large vocabulary speech recognition; lattice-derived WFST; lecture speech transcription; maximum likelihood estimation; minimum classification error method; phonetic decision trees; telephone-based name recognition; triphone models; weighted finite state transducers; Acoustic measurements; Acoustic noise; Acoustic transducers; Laboratories; Large-scale systems; Lattices; Maximum likelihood estimation; Speech recognition; Target recognition; Vocabulary;
  • 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.2005.1415063
  • Filename
    1415063
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=431196