Logo des Repositoriums
 

Pass phrase based speaker recognition for authentication

dc.contributor.authorHertlein, Heinz
dc.contributor.authorFrischholz, Robert
dc.contributor.authorNöth, Elmar
dc.contributor.editorBrömme, Arslan
dc.contributor.editorBusch, Christoph
dc.date.accessioned2019-11-07T08:08:24Z
dc.date.available2019-11-07T08:08:24Z
dc.date.issued2003
dc.description.abstractSpeaker recognition in applications of our daily lives is not yet in widespread use. In order for biometric technology to make sense for real-world authentication applications and be accepted by end users, convenience of use, robustness and accuracy of such a system are equally important. This paper defines these requirements for pass phrase based voice authentication embedded within a multi modal biometric system and describes methods and algorithms developed and optimized for the demands of such an application. Classification is based on dynamic time warping which can cope with limited training data. MFCC features which have been optimized for speaker specific properties are used. Robustness of the system is increased with speech enhancement and cepstral mean subtraction. Furthermore, vector quantization with speaker specific codebooks is applied in order to decrease storage requirements for the biometric template. On an appropriate data base, a verification EER of 2.7% is achieved with limited training and test material.en
dc.identifier.isbn3-88579-360-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/29661
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2003 – Biometrics and electronic signatures
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-31
dc.titlePass phrase based speaker recognition for authenticationen
dc.typeText/Conference Paper
gi.citation.endPage80
gi.citation.publisherPlaceBonn
gi.citation.startPage71
gi.conference.date24 July 2003
gi.conference.locationDarmstadt
gi.conference.sessiontitleRegular Research Papers

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
GI-Proceedings.31-8.pdf
Größe:
115.42 KB
Format:
Adobe Portable Document Format