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Using the conformal embedding analysis to compensate the channel effect in the i-vector based speaker verification system

dc.contributor.authorBoulkenafet, Zinelabidine
dc.contributor.authorBengherabi, Messaoud
dc.contributor.authorNouali, Omar
dc.contributor.authorCheriet, Mohamed
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2018-10-31T12:33:59Z
dc.date.available2018-10-31T12:33:59Z
dc.date.issued2013
dc.description.abstractThe I-vector approach to speaker recognition has become the prevalent paradigm over the past 2 years, showing top performance in NIST evaluations. This success is due mainly to the capability of the I-vector to capture and compress the speaker characteristics at low dimension and the subsequent channel compensation techniques that minimize channel variability. The Linear Discriminative Analysis (LDA) followed by Within-Class Covariance Normalization (WCCN ) and Cosine Similarity Scoring (CSS) represents the best compromise between performance and computational complexity. In this paper, we propose to use Conformal Embedding Analysis (CEA ); a recently proposed manifold leaning technique; to tackle the main limitations of LDA which are: the Gaussian assumption on the classes distribution, the inability to preserve the local geometric relationships of the data-space and its reliance on the Euclidean distance for characterizing the relationships between feature vectors. Experimental results on the challenging MOBIO-voice database show that CEA+WCCN outperforms LDA+WCCN for both male and female speakers at all operating points.en
dc.identifier.isbn978-3-88579-606-0
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/17675
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2013
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-212
dc.titleUsing the conformal embedding analysis to compensate the channel effect in the i-vector based speaker verification systemen
dc.typeText/Conference Paper
gi.citation.endPage248
gi.citation.publisherPlaceBonn
gi.citation.startPage241
gi.conference.date04.-06. September 2013
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

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