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. † 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. 1 DISC addresses the following six aspects of SLDSs: speech recognition, speech generation, language understanding and generation, dialogue management, human factors and systems integration. See Section 2.