• DocumentCode
    11086
  • Title

    TechWare: Spoken Language Understanding Resources [Best of the Web]

  • Author

    Tur, Gokhan ; Ye-Yi Wang ; Hakkani-Tur, Dilek

  • Author_Institution
    Conversational Syst. Res. Center, Microsoft Res., Mountain View, CA, USA
  • Volume
    30
  • Issue
    3
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    187
  • Lastpage
    189
  • Abstract
    In this issue, "Best of the Web" focuses on spoken language understanding (SLU), an emerging field in between the areas of speech processing and natural language processing. Since SLU is not a single stand-alone technology, unlike speech recognition or synthesis, it is hard to present a single application. The term spoken language understanding has largely been coined for targeted understanding of human speech directed at machines, although understanding human/human conversations or even human/human/machine interactions are vibrant areas of research. For a more comprehensive survey of SLU tasks, readers are referred to [1].
  • Keywords
    natural language processing; speech processing; SLU tasks; TechWare; human speech understanding; human-human conversation understanding; human-human-machine interactions; natural language processing; speech processing; speech recognition; speech synthesis; spoken language understanding resources; Languages; Natural language processing; Web sites;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2013.2241313
  • Filename
    6494691