Towards best practice in the development and evaluation of speech recognition components of a spoken language dialog system

  • Authors:
  • Lori Lamel;Wolfgang Minker;Patrick Paroubek

  • Affiliations:
  • Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France/ e-mail: lamel@limsi.fr, minker@gmx.de, pap@limsi.fr, minker@gmx.de;Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France/ e-mail: lamel@limsi.fr, minker@gmx.de, pap@limsi.fr, minker@gmx.de;Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France/ e-mail: lamel@limsi.fr, minker@gmx.de, pap@limsi.fr, minker@gmx.de

  • Venue:
  • Natural Language Engineering
  • Year:
  • 2000

Quantified Score

Hi-index 0.00

Visualization

Abstract

This article provides a global overview of the main aspects of current practice in the design, implementation and evaluation of speech recognition components for Spoken Language Dialog Systems (SLDSs), and presents the results of the DISC European project related to speech recognition. DISC and its successor DISC-2 are efforts towards the definition of best practice guidelines for SLDS development and evaluation. SLDSs aim at using natural spoken input for performing an information processing task such as automated standards, call routing or travel planning and reservations. The main functionality of an SLDS are speech recognition, natural language understanding, dialog management, database access and interpretation, response generation and speech synthesis. Speech recognition, which transforms the acoustic signal into a string of words, is a key technology in any SLDS.