• DocumentCode
    3240882
  • Title

    Video indexing using speech recognition techniques in audio channel -preliminary system design

  • Author

    Gu, Lingyun

  • Author_Institution
    Florida Univ., Gainesville, FL, USA
  • fYear
    2004
  • fDate
    18-21 Dec. 2004
  • Firstpage
    342
  • Lastpage
    345
  • Abstract
    Multimedia document archiving is an important and interesting issue with the current growth of multimedia documents. Among the different types of archiving, audio/video indexing plays a crucial role. For audio indexing techniques, most current audio indexing systems use a combination of speech recognition and information retrieval. A large vocabulary continuous speech recognition (LVCSR) system is used to produce time aligned transcripts of the given collection of speech. Information retrieval techniques are then employed on these recognized transcripts to identify locations in the text that are relevant to the search request. In this paper, we introduce the technology details of an audio indexing system for a specific application of the National Library of Medicine.
  • Keywords
    audio signals; information retrieval; information retrieval systems; multimedia systems; natural languages; speech processing; speech recognition; video signals; vocabulary; audio channel; audio indexing; information retrieval; large vocabulary continuous speech recognition system; multimedia document archiving; video indexing; Engines; Indexing; Information retrieval; Libraries; Multimedia systems; Signal processing; Speech processing; Speech recognition; Text recognition; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
  • Print_ISBN
    0-7803-8689-2
  • Type

    conf

  • DOI
    10.1109/ISSPIT.2004.1433790
  • Filename
    1433790