• DocumentCode
    2659503
  • Title

    The CALO meeting speech recognition and understanding system

  • Author

    Tur, G. ; Stolcke, A. ; Voss, L. ; Dowding, J. ; Favre, B. ; Fernandez, R. ; Frampton, M. ; Frandsen, M. ; Frederickson, C. ; Graciarena, M. ; Hakkani-Tür, D. ; Kintzing, D. ; Leveque, K. ; Mason, S. ; Niekrasz, J. ; Peters, S. ; Purver, M. ; Riedhammer,

  • Author_Institution
    SRI Int., Menlo Park, CA
  • fYear
    2008
  • fDate
    15-19 Dec. 2008
  • Firstpage
    69
  • Lastpage
    72
  • Abstract
    The CALO meeting assistant provides for distributed meeting capture, annotation, automatic transcription and semantic analysis of multiparty meetings, and is part of the larger CALO personal assistant system. This paper summarizes the CALO-MA architecture and its speech recognition and understanding components, which include real-time and offline speech transcription, dialog act segmentation and tagging, question-answer pair identification, action item recognition, decision extraction, and summarization.
  • Keywords
    cognitive systems; learning (artificial intelligence); multi-agent systems; speech recognition; CALO meeting speech recognition system; CALO meeting speech understanding system; CALO personal meeting assistant system; action item recognition; automatic speech transcription; cognitive agent-that-learns-and-organizes; decision extraction; dialog act segmentation; dialog act tagging; distributed meeting annotation; distributed meeting capture; multiparty meeting semantic analysis; question-answer pair identification; speech summarization; Automatic speech recognition; Data processing; Internet telephony; Linux; Natural languages; Network servers; Portable computers; Speech recognition; Tagging; Web server; multiparty meetings processing; speech recognition; spoken language understanding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Spoken Language Technology Workshop, 2008. SLT 2008. IEEE
  • Conference_Location
    Goa
  • Print_ISBN
    978-1-4244-3471-8
  • Electronic_ISBN
    978-1-4244-3472-5
  • Type

    conf

  • DOI
    10.1109/SLT.2008.4777842
  • Filename
    4777842