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Automatic speaker verification using nearest neighbor normalization (3N) on an ipad tablet

dc.contributor.authorKhemiri, Houssemeddine
dc.contributor.authorUsoltsev, Alexander
dc.contributor.authorLegout, Marie-Christine
dc.contributor.authorPetrovska-Delacrétaz, Dijana
dc.contributor.authorChollet, Gérard
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2017-07-26T10:54:17Z
dc.date.available2017-07-26T10:54:17Z
dc.date.issued2014
dc.description.abstractThis paper describes the development, implementation and validation of an automatic speaker recognition system on an iPad tablet. A score normalization approach, referred as Nearest Neighbor Normalization (3N), is applied in order to improve the baseline speaker verification system. The system is evaluated on the MOBIO corpus and results show an absolute improvement of the HTER by more than 4\% when the score normalization is performed. A human-centered interface is implemented for the speaker recognition system and a survey is collected from 28 users in order to evaluate the application. The results showed that the users, familiar with touchscreen interface, found the application easy to learn and use.en
dc.identifier.isbn978-3-88579-624-4
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2014
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-230
dc.titleAutomatic speaker verification using nearest neighbor normalization (3N) on an ipad tableten
dc.typeText/Conference Paper
gi.citation.endPage250
gi.citation.publisherPlaceBonn
gi.citation.startPage243
gi.conference.date10.-12. September 2014
gi.conference.locationDarmstadt

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