• DocumentCode
    1331189
  • Title

    Probabilistic vector mapping with trajectory information for noise-robust speech recognition

  • Author

    Kim, D.Y. ; Un, C.K.

  • Author_Institution
    Commun. Res. Lab., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea
  • Volume
    32
  • Issue
    17
  • fYear
    1996
  • fDate
    8/15/1996 12:00:00 AM
  • Firstpage
    1550
  • Lastpage
    1551
  • Abstract
    The authors propose a probabilistic vector mapping method with trajectory information for noise-robust speech recognition. The proposed method estimates a speech vector using not only the current noisy vector but also adjacent vectors in the form of a trajectory pattern. According to our isolated word recognition experiment, the new method yields a better recognition rate than the probabilistic vector mapping method previously proposed
  • Keywords
    probability; speech recognition; vector quantisation; isolated word recognition; noise-robust speech recognition; probabilistic vector mapping; trajectory pattern;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el:19961081
  • Filename
    533283
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1331189