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Improving Speaker Recognition in Environmental Noise with Adaptive Filter

dc.contributor.authorAlmeida Dos Santos, Vinícius
dc.contributor.authorD. Parreira, Wemerson
dc.contributor.authorFernandes, Anita
dc.contributor.authorRAUL, GARCIA
dc.contributor.authorLEITHARDT, VALDERI
dc.date.accessioned2023-02-01T17:57:17ZPT
dc.date.available2023-02-01T17:57:17ZPT
dc.date.issued2022PT
dc.date.updated2022-11-29T10:37:10Z
dc.description.abstractSpeaker recognition is challenging in real-world environments. Typically, studies approach noises only in an additive manner. However, real environments commonly present everberating conditions that worsen speech processing. When not considering reverberation in the system modeling, the system may not be robust when applied to real-world conditions. In this work, we use a slight different approach to simulate reverberation, considering randomized conditions of the environment. With this approach, each VoxCeleb1 test sample is corrupted by randomly generated conditions, with diversified amplitudes of noise and speech. We generate a corrupted dataset, in which the best model EER degraded from 0.93% to 30.13%. To improve this degradation, we propose using Normalized Kernel Least-Mean-Square (NKLMS) adaptive filter. Through the use of NKLMS, we were able to improve the EER from 30.13% to 1.11%. The results indicate that NKLMS has a great potential for speech enhancement to improve speaker recognition.pt_PT
dc.description.versionN/Apt_PT
dc.identifier.doi10.1109/ACCESS.2022.3225405pt_PT
dc.identifier.slugcv-prod-3087723PT
dc.identifier.urihttp://hdl.handle.net/10400.26/43547PT
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationUIDB/05064/2020
dc.subjectAdaptive Filter,pt_PT
dc.subjectKernel Methods,pt_PT
dc.subjectNoise Pollution,pt_PT
dc.subjectSpeaker Recognitionpt_PT
dc.titleImproving Speaker Recognition in Environmental Noise with Adaptive Filterpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleIEEE Accesspt_PT
person.familyNameAlmeida dos Santos
person.familyNameD. Parreira
person.familyNameFernandes
person.familyNameRAUL
person.familyNameREIS QUIETINHO LEITHARDT
person.givenNameVinícius
person.givenNameWemerson
person.givenNameAnita
person.givenNameGARCIA
person.givenNameVALDERI
person.identifierJsOq45sAAAAJ&hl=pt-PT
person.identifier.ciencia-id0614-5834-E7F3
person.identifier.orcid0000-0003-4356-5880
person.identifier.orcid0000-0003-1896-0520
person.identifier.orcid0000-0002-2986-5353
person.identifier.orcid0000-0001-8781-6392
person.identifier.orcid0000-0003-0446-9271
person.identifier.ridO-9875-2017
person.identifier.scopus-author-id47061695000
person.identifier.scopus-author-id42861207900
person.identifier.scopus-author-id35303109600
rcaap.cv.cienciaid0614-5834-E7F3 | Valderi Reis Quietinho Leithardt
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication24f7c350-67ef-4dac-a51a-9b45ce1b768c
relation.isAuthorOfPublicatione6e57c5a-2e44-4f88-aded-0b6df34e44e1
relation.isAuthorOfPublication4e0e3a69-c788-455a-81a0-679da835632e
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relation.isAuthorOfPublicationab15f7c6-e882-406e-813d-2629e9cec5c8
relation.isAuthorOfPublication.latestForDiscoveryab15f7c6-e882-406e-813d-2629e9cec5c8

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