• DocumentCode
    294636
  • Title

    Searching with a transcription graph

  • Author

    Li, Z. ; Kenny, P. ; Shaughnessy, D.O.

  • Author_Institution
    INRS-Telecommun., Quebec Univ., Verdun, Que., Canada
  • Volume
    1
  • fYear
    1995
  • fDate
    9-12 May 1995
  • Firstpage
    564
  • Abstract
    We present new developments in our approach to the search problem in very large vocabulary speech recognition. A transcription graph, which encodes all high scoring phonetic transcriptions which satisfy lexical constraints, is built so as to completely separate the search of the lexicon from the construction of the word graph. This enables us to limit the computational burden of searching in a way which is essentially independent of the size of the language model
  • Keywords
    data structures; graph theory; natural languages; search problems; speech coding; speech processing; speech recognition; encoding; high scoring phonetic transcriptions; language model; lexical constraints; search problem; transcription graph; very large vocabulary speech recognition; word graph; Buildings; Business; Costs; Data structures; Dictionaries; Search problems; Speech recognition; Tree graphs; Viterbi algorithm; Voting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1995. ICASSP-95., 1995 International Conference on
  • Conference_Location
    Detroit, MI
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-2431-5
  • Type

    conf

  • DOI
    10.1109/ICASSP.1995.479660
  • Filename
    479660