• DocumentCode
    3632585
  • Title

    Bag-of-Words Modelling for Speech Recognition

  • Author

    Bartosz Ziolko;Suresh Manandhar;Richard C. Wilson

  • Author_Institution
    Dept. of Electron., AGH Univ. of Sci. & Technol., Krakow, Poland
  • fYear
    2009
  • Firstpage
    646
  • Lastpage
    650
  • Abstract
    A semantic language modelling method for speech recognition is presented. The method is somehow similar to latent semantic analysis, but it does not need so much memory and training data. Even though it gave better experimental results, provided as percentage of correctly recognized sentences from a corpus. It differentiate from latent semantic analysis by a choice of similar topics influencing a matrix describing probability of words appearing in topics.
  • Keywords
    "Speech recognition","Natural languages","Sparse matrices","Entropy","Automatic speech recognition","Computer science","Training data","Context modeling","Robustness","Testing"
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication, 2009. ICFCC 2009. International Conference on
  • Print_ISBN
    978-0-7695-3591-3
  • Type

    conf

  • DOI
    10.1109/ICFCC.2009.37
  • Filename
    5189863
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3632585