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dc.contributor.authorMasgrau Gómez, Enrique José
dc.date.accessioned2016-03-14T16:24:57Z
dc.date.available2016-03-14T16:24:57Z
dc.date.issued1991
dc.identifier.citationMasgrau, E. Reconocimiento robusto del habla en ambientes ruidosos. A: Simposium Nacional de la Unión Científica Internacional de Radio. "VI Simposium Nacional de la Unión Científica Internacional de Radio. URSI 1991". Caceres: 1991, p. 812-816.
dc.identifier.isbn84-600-7766-7
dc.identifier.urihttp://hdl.handle.net/2117/84339
dc.description.abstractThe performance of existing speech recognition systems degrades rapidly in the presence of noise. In this paper, we study a solution to this problem using a preprocessor based on the spectral substraction method. We have made a large amount of tests with a recognition system based on hidden Markov models (HMM) approach with special emphasis in a car environment. Results are much better than those obtained without any additional processing. In sorne cases, recogniton rates are as little as when signa/ is not corrupted by noise (error<1 .5%).
dc.format.extent5 p.
dc.language.isospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject.lcshNoise
dc.titleReconocimiento robusto del habla en ambientes ruidosos
dc.typeConference report
dc.subject.lemacSoroll
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ursi.usc.es/wp-content/uploads/articulos_antiguos_escaneados/Caceres_1991/sesion1A5.pdf
dc.rights.accessOpen Access
drac.iddocument2433481
dc.description.versionPostprint (published version)
upcommons.citation.authorMasgrau, E.
upcommons.citation.contributorSimposium Nacional de la Unión Científica Internacional de Radio
upcommons.citation.pubplaceCaceres
upcommons.citation.publishedtrue
upcommons.citation.publicationNameVI Simposium Nacional de la Unión Científica Internacional de Radio. URSI 1991
upcommons.citation.startingPage812
upcommons.citation.endingPage816


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