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Speaker verification on small datasets with ResNet50

datacite.subject.fosEngenharia e Tecnologia
dc.contributor.authorManfron, Enrico
dc.contributor.authorMinetto, Rodrigo
dc.contributor.authorTeixeira, João Paulo
dc.date.accessioned2026-05-18T15:34:07Z
dc.date.available2026-05-18T15:34:07Z
dc.date.issued2024
dc.description.abstractIn this study, we explore the capabilities of speaker recognition technology for biometric authentication, developing speaker recognitionbased access control systems, and serving as a resource for future research. We focused on developing and evaluating the ResNet50 model for speaker verification. The model was trained and tested on private datasets with 32 speakers and public datasets with 1251 to 6112 speakers. The model ResNet50 achieved a good result on our private dataset by achieving the best EER of 0.7%.por
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI, UIDB/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (DOI: 10.54499/UIDB/05757/2020) and SusTEC, LA/P/0007/2020 (DOI: 10.54499/LA/P/0007/2020).
dc.identifier.citationManfron, Enrico; Minetto, Rodrigo; Teixeira, João Paulo (2024). Speaker verification on small datasets with ResNet50. In International Conference on Management, Tourism and Technologies, ICMTT 2024. p. 41-50. ISBN 978-303174824-0. DOI: 10.1007/978-3-031-74825-7_5
dc.identifier.doi10.1007/978-3-031-74825-7_5
dc.identifier.isbn978-303174824-0
dc.identifier.urihttp://hdl.handle.net/10198/36716
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Nature Switzerland
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.relation.ispartofLecture Notes in Networks and Systems
dc.relation.ispartofManagement, Tourism and Smart Technologies
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleSpeaker verification on small datasets with ResNet50por
dc.typeconference object
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.titleInternational Conference on Management, Tourism and Technologies, ICMTT 2024
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
person.familyNameTeixeira
person.givenNameJoão Paulo
person.identifier663194
person.identifier.ciencia-id4F15-B322-59B4
person.identifier.orcid0000-0002-6679-5702
person.identifier.ridN-6576-2013
person.identifier.scopus-author-id57069567500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isAuthorOfPublication.latestForDiscovery33f4af65-7ddf-46f0-8b44-a7470a8ba2bf
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

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