• DocumentCode
    921723
  • Title

    Systolic codebook generation [speech recognition]

  • Author

    Beresford-Smith, Bryan ; Breckling, Jens ; Schröder, Heiko ; Summons, Peter

  • Author_Institution
    Australian Nat. Univ., Camberra, ACT, Australia
  • Volume
    1
  • Issue
    2
  • fYear
    1993
  • fDate
    4/1/1993 12:00:00 AM
  • Firstpage
    144
  • Lastpage
    149
  • Abstract
    Two systolic codebook generators which are based on finding clusters in a multidimensional space with a suitable dissimilarity measure are presented. They are implemented on two novel VLSI architectures. For segments of speech represented by a sequence of k linear-predictive-coding vectors, the first version finds r large clusters in time O(rk), and the second version finds the maximal r clusters in time O(r log k)
  • Keywords
    VLSI; linear predictive coding; speech coding; speech recognition; systolic arrays; LPC vectors; VLSI architectures; clusters; dissimilarity measure; linear-predictive-coding vectors; multidimensional space; speech recognition; speech segments; systolic codebook generators; Australia; Extraterrestrial measurements; Hidden Markov models; Iterative algorithms; Linear predictive coding; Multidimensional systems; Speech processing; Speech recognition; Vector quantization; Very large scale integration;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.222874
  • Filename
    222874
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=921723