• DocumentCode
    2923619
  • Title

    Speech recognition in the Informedia Digital Video Library: uses and limitations

  • Author

    Hauptmann, Alexander G.

  • Author_Institution
    Dept. of Comput. Sci., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    1995
  • fDate
    5-8 Nov 1995
  • Firstpage
    288
  • Lastpage
    294
  • Abstract
    In principle, speech recognition technology can make any spoken data useful for library indexing and retrieval. The paper describes the Informedia Digital Video Library project and discusses how speech recognition is used for transcript creation from video, alignment with hand-generated transcripts, query interface and audio paragraph segmentation. The results show that speech recognition accuracy varies dramatically depending on the quality and type of data used. Our information retrieval experiments also show that reasonable recall and precision can be obtained with moderate speech recognition accuracy. Finally we discuss some active areas of speech research relevant to the digital video library problem
  • Keywords
    information retrieval; information services; interactive video; natural language interfaces; speech recognition; Informedia Digital Video Library; audio paragraph segmentation; hand-generated transcripts; information retrieval experiments; library indexing; moderate speech recognition accuracy; query interface; speech recognition; speech recognition accuracy; spoken data; transcript creation; Frequency; Humans; Image color analysis; Image segmentation; Indexing; Software libraries; Speech analysis; Speech recognition; System testing; Text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Tools with Artificial Intelligence, 1995. Proceedings., Seventh International Conference on
  • Conference_Location
    Herndon, VA
  • ISSN
    1082-3409
  • Print_ISBN
    0-8186-7312-5
  • Type

    conf

  • DOI
    10.1109/TAI.1995.479616
  • Filename
    479616