The CALO meeting assistant system

  • Authors:
  • Gokhan Tur;Andreas Stolcke;Lynn Voss;Stanley Peters;Dilek Hakkani-Tür;John Dowding;Benoit Favre;Raquel Fernández;Matthew Frampton;Mike Frandsen;Clint Frederickson;Martin Graciarena;Donald Kintzing;Kyle Leveque;Shane Mason;John Niekrasz;Matthew Purver;Korbinian Riedhammer;Elizabeth Shriberg;Jing Tien;Dimitra Vergyri;Fan Yang

  • Affiliations:
  • SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;CSLI, Stanford University, Stanford, CA;ICSI, Berkeley, CA;CSLI, Stanford University, Stanford, CA;ICSI, Berkeley, CA;CSLI, Stanford University, Stanford, CA;CSLI, Stanford University, Stanford, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;CSLI, Stanford University, Stanford, CA;CSLI, Stanford University, Stanford, CA;ICSI, Berkeley, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA;SRI International, Menlo Park, CA

  • Venue:
  • IEEE Transactions on Audio, Speech, and Language Processing
  • Year:
  • 2010

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Abstract

The CALO Meeting Assistant (MA) 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 presents the CALO-MA architecture and its speech recognition and understanding components, which include real-time and offline speech transcription, dialog act segmentation and tagging, topic identification and segmentation, question-answer pair identification, action item recognition, decision extraction, and summarization.