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Communication Dans Un Congrès Année : 2013

Speaker Recognition for Mobile User Authentication: An Android Solution

Résumé

This paper deals with a biometric solution for authentication on mobile devices. Among the possible biometric modalities, speaker recognition seems the most natural choice for a mobile phone. This work lies in the continuation of our previous work \cite{Biosig2012}, where we evaluated a candidate algorithm in terms of performance and time processing. The proposed solution is implemented here as an Android application. Its performances are evaluated both on a public database and on an own made database. The obtained results are promising for well chosen parameters set, with an Equal Error Rate (EER) value of 4.52%. \end{abstract}
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Dates et versions

hal-00848318 , version 1 (25-07-2013)

Identifiants

  • HAL Id : hal-00848318 , version 1

Citer

Kevin Brunet, Karim Taam, Estelle Cherrier, Ndiaga Faye, Christophe Rosenberger. Speaker Recognition for Mobile User Authentication: An Android Solution. 8ème Conférence sur la Sécurité des Architectures Réseaux et Systèmes d'Information (SAR SSI), Sep 2013, France. pp.10. ⟨hal-00848318⟩
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