Please use this identifier to cite or link to this item: http://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1844
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKanagasundaram, A.
dc.contributor.authorVogt, R.
dc.contributor.authorDean, D.
dc.contributor.authorSridharan, S.
dc.contributor.authorMason, M.
dc.date.accessioned2021-03-12T04:16:14Z
dc.date.accessioned2022-06-27T10:02:16Z-
dc.date.available2021-03-12T04:16:14Z
dc.date.available2022-06-27T10:02:16Z-
dc.date.issued2011
dc.identifier.citationKanagasundaram, A., Vogt, R., Dean, D., Sridharan, S., & Mason, M. (2011). I-vector based speaker recognition on short utterances. In Proceedings of the 12th Annual Conference of the International Speech Communication Association (pp. 2341-2344). International Speech Communication Association.en_US
dc.identifier.urihttp://repo.lib.jfn.ac.lk/ujrr/handle/123456789/1844-
dc.description.abstractRobust speaker verification on short utterances remains a key consideration when deploying automatic speaker recognition, as many real world applications often have access to only limited duration speech data. This paper explores how the recent technologies focused around total variability modeling behave when training and testing utterance lengths are reduced. Results are presented which provide a comparison of Joint Factor Analysis (JFA) and i-vector based systems including various compensation techniques; Within-Class Covariance Normalization (WCCN), LDA, Scatter Difference Nuisance Attribute Projection (SDNAP) and Gaussian Probabilistic Linear Discriminant Analysis (GPLDA). Speaker verification performance for utterances with as little as 2 sec of data taken from the NIST Speaker Recognition Evaluations are presented to provide a clearer picture of the current performance characteristics of these techniques in short utterance conditions.en_US
dc.language.isoenen_US
dc.subjectspeaker verificationen_US
dc.subjectshort utteranceen_US
dc.titlei-vector Based Speaker Recognition on Short Utterancesen_US
dc.typeArticleen_US
Appears in Collections:Electrical & Electronic Engineering

Files in This Item:
File Description SizeFormat 
i-vector Based Speaker Recognition on Short Utterances.pdf126.74 kBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.