Publication:
VQ-UBM based speaker verification through dimension reduction using local PCA

dc.contributor.authorMestre, X.
dc.contributor.authorHernando, J.
dc.contributor.authorPardas, M.
dc.contributor.buuauthorHanilçi, Cemal
dc.contributor.buuauthorErtaş, Figen
dc.contributor.departmentMühendislik Fakültesi
dc.contributor.departmentElektrik ve Elektronik Mühendisliği Bölümü
dc.contributor.researcheridAAH-4188-2021
dc.contributor.researcheridS-4967-2016
dc.contributor.scopusid35781455400
dc.contributor.scopusid24724154500
dc.date.accessioned2022-03-08T06:06:46Z
dc.date.available2022-03-08T06:06:46Z
dc.date.issued2011
dc.descriptionBu çalışma, 29 Ağustos-2 Eylül 2011 tarihleri arasında Barselona[İspanya]'da düzenlenen 19. European Signal Processing Conference (Eusipco-2011)'de bildiri olarak sunulmuştur.
dc.description.abstractThe universal background model (UBM) based classifiers have recently been popular for speaker recognition. In this paper, we propose a dimension reduction method using local principal component analysis to improve the performance of speaker verification systems, where maximum a Posteriori (MAP) adapted vector quantization classifier (VQ-MAP or VQ-UBM) is employed. The proposed system first partitions the UBM data into disjoint regions (clusters) via conventional VQ algorithm and PCA is performed on the set of feature vectors in each region to obtain transformation matrix. Then, multiple speaker model is constructed using the set of transformed feature vectors closest to each cluster through MAP adaptation. Conducting experiments on NIST 2001 SRE, it is shown that transforming the data onto a lower dimensional space by the proposed method improves the recognition accuracy.
dc.identifier.citationHanilçi, C. ve Ertaş, F. (2011). ''VQ-UBM based speaker verification through dimension reduction using local PCA''. ed. X. Mestre vd. 19. European Signal Processing Conference (Eusipco-2011), 1303-1306.
dc.identifier.endpage1306
dc.identifier.issn2076-1465
dc.identifier.scopus2-s2.0-84863731345
dc.identifier.startpage1303
dc.identifier.urihttps://ieeexplore.ieee.org/document/7074260
dc.identifier.urihttp://hdl.handle.net/11452/24884
dc.identifier.wos000377963100264
dc.indexed.wosCPCIS
dc.language.isoen
dc.publisherEuropean Assoc Signal Speech & Image Processing-Eurasip
dc.relation.journal19. European Signal Processing Conference (Eusipco-2011)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectEngineering
dc.subjectImaging science & photographic technology
dc.subjectGaussian mixture-models
dc.subjectIdentification
dc.subjectGmm
dc.subjectRecognition
dc.subjectLinear transformations
dc.subjectMetadata
dc.subjectPrincipal component analysis
dc.subjectSignal processing
dc.subjectVector quantization
dc.subjectDimension reduction
dc.subjectDimension reduction method
dc.subjectDimensional spaces
dc.subjectDisjoint regions
dc.subjectFeature vectors
dc.subjectLocal principal component analysis
dc.subjectMAP adaptation
dc.subjectMaximum a posteriori
dc.subjectRecognition accuracy
dc.subjectSpeaker model
dc.subjectSpeaker recognition
dc.subjectSpeaker verification
dc.subjectSpeaker verification system
dc.subjectTransformation matrices
dc.subjectUniversal background model
dc.subjectVQ algorithm
dc.subjectSpeech recognition
dc.subject.scopusSpeaker Verification; Language Recognition; Utterance
dc.subject.wosEngineering, electrical & electronic
dc.subject.wosImaging science & photographic technology
dc.titleVQ-UBM based speaker verification through dimension reduction using local PCA
dc.typeProceedings Paper
dspace.entity.typePublication
local.contributor.departmentMühendislik Fakültesi/Elektrik ve Elektronik Mühendisliği Bölümü
local.indexed.atScopus
local.indexed.atWOS

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