• DocumentCode
    1394132
  • Title

    The time-conditioned approach in dynamic programming search for LVCSR

  • Author

    Ortmanns, Stefan ; Ney, Hermann

  • Author_Institution
    Dept. of Comput. Sci., Tech. Hochschule Aachen, Germany
  • Volume
    8
  • Issue
    6
  • fYear
    2000
  • fDate
    11/1/2000 12:00:00 AM
  • Firstpage
    676
  • Lastpage
    687
  • Abstract
    This paper presents the time-conditioned approach in dynamic programming search for large-vocabulary continuous-speech recognition. The following topics are presented: the baseline algorithm, a time-synchronous beam search version, a comparison with the word-conditioned approach, a comparison with stack decoding. The approach has been successfully tested on the NAB task using a vocabulary of 64000 words
  • Keywords
    decoding; dynamic programming; search problems; speech coding; speech recognition; synchronisation; LVCSR; NAB task; baseline algorithm; dynamic programming search; large-vocabulary continuous-speech recognition; one-pass DP search; search organization; stack decoding; time-conditioned approach; time-synchronous beam search version; word-conditioned approach; Acoustic emission; Computer science; Decoding; Dynamic programming; Hidden Markov models; History; Search problems; Speech recognition; Testing; Vocabulary;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.876301
  • Filename
    876301