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A text-independent speaker authentication system for mobile devices

Thullier Florentin, Bouchard Bruno et Ménélas Bob-Antoine-Jerry. (2017). A text-independent speaker authentication system for mobile devices. Cryptography, 1, (3), p. 16.

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URL officielle: http://dx.doi.org/doi:10.3390/cryptography1030016

Résumé

This paper presents a text independent speaker authentication method adapted to mobile devices. Special attention was placed on delivering a fully operational application, which admits a sufficient reliability level and an efficient functioning. To this end, we have excluded the need for any network communication. Hence, we opted for the completion of both the training and the identification processes directly on the mobile device through the extraction of linear prediction cepstral coefficients and the naive Bayes algorithm as the classifier. Furthermore, the authentication decision is enhanced to overcome misidentification through access privileges that the user should attribute to each application beforehand. To evaluate the proposed authentication system, eleven participants were involved in the experiment, conducted in quiet and noisy environments. Public speech corpora were also employed to compare this implementation to existing methods. Results were efficient regarding mobile resources’ consumption. The overall classification performance obtained was accurate with a small number of samples. Then, it appeared that our authentication system might be used as a first security layer, but also as part of a multilayer authentication, or as a fall-back mechanism.

Type de document:Article publié dans une revue avec comité d'évaluation
ISSN:2410-387X
Volume:1
Numéro:3
Pages:p. 16
Version évaluée par les pairs:Oui
Date:2017
Identifiant unique:10.3390/cryptography1030016
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:speaker authentication, text independent, mobile devices, LPCCs, naive Bayes, voice, security, informatique
Déposé le:18 nov. 2020 21:04
Dernière modification:18 nov. 2020 21:04
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