Paper Info
Title
Arabic Text-Dependent Speaker Verification for Mobile Devices Using Artificial Neural Networks
Abstract
Speaker verification is one of the biometric verification techniques used to verify the claimed identity of a speaker. It is mainly applied for security reasons and managing users' authentication. Voiceprint can be used as a unique password of the user to prove his/her identity. In this paper, we propose a new Arabic text-dependent speaker verification system for mobile devices using artificial neural networks (ANN) to recognize authorized user and unlock devices for him/her. We describe system components and demonstrate how it works. We present the performance of our system and analyze its results.
Year
DOI
Venue
2011
10.1109/ICMLA.2011.168
ICMLA (2)
Keywords
DocType
Volume
neural network,mobile devices,authentication,mobile handsets,arabic text-dependent speaker verification,security reasons,voiceprint,mobile device,user authentication,mobile,new arabic text-dependent speaker,biometric verification technique,verification system,speaker verification,artificial neural networks,speaker claimed identity,speaker recognition,system components,system component,unique password,biometrics (access control),authorisation,artificial neural network,natural language processing,message authentication,security reason,mobile computing,component,neural nets,biometric verification techniques,authorized user recognition,feature extraction
Conference
2
Issue
ISBN
Citations 
7
978-1-4577-2134-2
0
PageRank 
References 
Authors
0.34
12
3
Name
Order
Citations
PageRank
Abdulrahman Alarifi113916.55
Issa Alkurtass200.34
AbdulMalik S. Al-Salman314118.35