DC FieldValueLanguage
dc.contributor.authorBakamidis, Stelios-
dc.contributor.authorDendrinos, Markos-
dc.contributor.authorCarayiannis, George-
dc.date.accessioned2023-10-16T14:18:33Z-
dc.date.available2023-10-16T14:18:33Z-
dc.date.issued1991-02-
dc.identifierscopus-0026105532-
dc.identifier.other0026105532-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/448-
dc.description.abstractIn this paper a speech enhancement technique is proposed based on principal component analysis and a new criterion for the selection of the parsimonious number of components for noise-free signal regeneration. Both isolated phonemes and continuous speech experiments are presented. The results have been evaluated by informal listening and SNR computations, which show that the methodology has an improved performance compared to existing techniques.en_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofSpeech Communicationen_US
dc.titleSpeech enhancement from noise: A regenerative approachen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/0167-6393(91)90027-Qen_US
dc.identifier.scopus2-s2.0-0026105532-
dc.relation.deptDepartment of Archival, Library and Information Studiesen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume10en_US
dc.relation.issue1en_US
dc.identifier.spage45en_US
dc.identifier.epage57en_US
dc.linkhttps://www.sciencedirect.com/science/article/abs/pii/016763939190027Qen_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldSocial Sciencesen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeArticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.languageiso639-1en-
crisitem.author.deptDepartment of Archival, Library and Information Studies-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.orcid0000-0001-5675-3069-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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