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dc.contributor.authorHernández-Abrego, G
dc.contributor.authorMariño Acebal, José Bernardo
dc.date.accessioned2017-04-21T14:34:03Z
dc.date.available2017-04-21T14:34:03Z
dc.date.issued1999
dc.identifier.citationHernández-Abrego, G., Mariño, J.B. Fuzzy reasoning in confidence evaluation of speech recognition. A: IEEE INTERNATIONAL WORKSHOP ON INTELLINGENT SIGNAL PROCESSING. "PROCEEDINGS OF IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT SIGNAL PROCESSING". Budapest: ., 1999, p. 221-226.
dc.identifier.urihttp://hdl.handle.net/2117/103635
dc.description.abstractConfidence measures represent a systematic way to express reliability of speech recognition results. A common approach to confidence measuring is to take profit of the information that several recognition-related features offer and to combine them, through a given compilation mechanism , into a more effective way to distinguish between correct and incorrect recognition results. We propose to use a fuzzy reasoning scheme to perform the information compilation step. Our approach opposes the previously proposed ones because ours treats the uncertainty of recognition hypotheses in terms of
dc.format.extent6 p.
dc.language.isoeng
dc.publisher.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshTelecommunication
dc.titleFuzzy reasoning in confidence evaluation of speech recognition
dc.typeConference report
dc.subject.lemacTelecomunicació
dc.contributor.groupUniversitat Politècnica de Catalunya. VEU - Grup de Tractament de la Parla
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.identifier.drac2356793
dc.description.versionPostprint (published version)
local.citation.authorHernández-Abrego, G.; Mariño, J.B.
local.citation.contributorIEEE INTERNATIONAL WORKSHOP ON INTELLINGENT SIGNAL PROCESSING
local.citation.pubplaceBudapest
local.citation.publicationNamePROCEEDINGS OF IEEE INTERNATIONAL WORKSHOP ON INTELLIGENT SIGNAL PROCESSING
local.citation.startingPage221
local.citation.endingPage226


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