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Spoken Language Systems: Technological Goals and Integration Issues

  • Henry S. Thompson
  • Jaime G. Carbonell
  • Sadaoki Furui
  • Jan Landsbergen
  • Mark Y. Liberman
  • Christel Sorin
  • Walther von Hahn
Part of the ESPRIT Basic Research Series book series (ESPRIT BASIC)

Abstract

The vision of the talking, listening computer is by now, twenty-five years after HAL in Arthur Clarke’s 2001, a common-place. When people are asked to participate in a ‘Wizard of Oz’ experiment and interrogate what they are told is a computer over the telephone, it apparently never occurs to them to be surprised that a computer can understand what they have to say. But in fact as we know all too well, such an interaction is still far beyond the capabilities of the technology, outside carefully structured and constrained contexts. What will it take to move us forward toward that millenial plus one goal?

Keywords

Speech Recognition Speech Signal Machine Translation Automatic Speech Recognition Optical Character Recognition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© ECSC - EEC - EAEC, Brussels - Luxembourg 1991

Authors and Affiliations

  • Henry S. Thompson
    • 1
  • Jaime G. Carbonell
    • 2
  • Sadaoki Furui
    • 3
  • Jan Landsbergen
    • 4
  • Mark Y. Liberman
    • 5
  • Christel Sorin
    • 6
  • Walther von Hahn
    • 7
  1. 1.Human Communication Research CentreUniversity of EdinburghUK
  2. 2.Center for Machine TranslationCarnegie Mellon UniversityPittsburghUSA
  3. 3.NTT Human Interface LaboratoriesTokyoJapan
  4. 4.Philips Research LaboratoriesEindhovenNetherlands
  5. 5.Department of Computer and Information ScienceUniversity of PennsylvaniaUSA
  6. 6.Centre National d’Etudes des TelecommunicationsLannionFrance
  7. 7.Fachbereich InformatikUniversität HamburgGermany

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