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

Published online by Cambridge University Press:  26 March 2001

LORI LAMEL ,
WOLFGANG MINKER  and
PATRICK PAROUBEK
LORI LAMEL
Affiliation:
Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France; e-mail: [email protected], [email protected], [email protected], [email protected]
WOLFGANG MINKER
Affiliation:
Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France; e-mail: [email protected], [email protected], [email protected], [email protected]
PATRICK PAROUBEK
Affiliation:
Spoken Language Processing Group, LIMSI-CNRS, BP 133, 91403 Orsay cedex, France; e-mail: [email protected], [email protected], [email protected], [email protected]
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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.

Type
Research Article
Information
Natural Language Engineering , Volume 6 , Issue 3-4 , September 2000 , pp. 305 - 322
Copyright
2000 Cambridge University Press

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Footnotes

This paper is based on research carried out within the ESPRIT 4th Framework LTR Concerted action projects 24823 and 29597 DISC – Spoken Language Dialog Systems and Components; Best Practice in Development and Evaluation.