Development of Multi-Level Speech based Person Authentication System

This work presents the development of a multi-level speech based person authentication system with attendance as an application. The multi-level system consists of three different modules of speaker verification, namely voice-password, text-dependent and text-independent speaker verification. The three speaker verification modules are combined in a sequential manner to develop a multi-level framework which is ported over a telephone network through interactive voice response (IVR) system for aiding remote authentication. The users call from a fixed set of mobile handsets to verify their claim against their respective models, which is then authenticated in a multi-level mode using the above stated three modules. An analysis over a period of two months is shown on the performance of the multi-level system in attendance marking. The multi-level framework having combination of the three modules helps in achieving better performance than that of the individual modules, which shows its potential for practical deployment.

[1]  David G. Stork,et al.  Pattern classification, 2nd Edition , 2000 .

[2]  Arun Ross,et al.  An introduction to biometric recognition , 2004, IEEE Transactions on Circuits and Systems for Video Technology.

[3]  S. Furui,et al.  Cepstral analysis technique for automatic speaker verification , 1981 .

[4]  Matthieu Hébert,et al.  Text-Dependent Speaker Recognition , 2008 .

[5]  I. Elamvazuthi,et al.  Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques , 2010, ArXiv.

[6]  S. R. Mahadeva Prasanna,et al.  Speech biometric based attendance system , 2014, 2014 Twentieth National Conference on Communications (NCC).

[7]  B.S. Atal,et al.  Automatic recognition of speakers from their voices , 1976, Proceedings of the IEEE.

[8]  S. R. Mahadeva Prasanna,et al.  Multimodal Biometric Person Authentication : A Review , 2012 .

[9]  Enrique Cantó,et al.  Real-Time Speaker Verification System Implemented on Reconfigurable Hardware , 2013, J. Signal Process. Syst..

[10]  Haizhou Li,et al.  An overview of text-independent speaker recognition: From features to supervectors , 2010, Speech Commun..

[11]  Bin Ma,et al.  Text-dependent speaker verification: Classifiers, databases and RSR2015 , 2014, Speech Commun..

[12]  Douglas A. Reynolds,et al.  Speaker Verification Using Adapted Gaussian Mixture Models , 2000, Digit. Signal Process..

[13]  Tabassam Nawaz,et al.  Development of Academic Attendence Monitoring System Using Fingerprint Identification , 2009 .

[14]  Bin Ma,et al.  Joint Application of Speech and Speaker Recognition for Automation and Security in Smart Home , 2011, INTERSPEECH.

[15]  K. J. Satoa An Attendance Monitoring System Using Biometrics , 2013 .

[16]  Arun Ross,et al.  Multimodal biometrics: An overview , 2004, 2004 12th European Signal Processing Conference.

[17]  S. R. Mahadeva Prasanna,et al.  Development and evaluation of online text-independent speaker verification system for remote person authentication , 2013, Int. J. Speech Technol..

[18]  B. Putra,et al.  Implementation of secure speaker verification at web login page using Mel Frequency Cepstral Coefficient-Gaussian Mixture Model (MFCC-GMM) , 2011, 2011 2nd International Conference on Instrumentation Control and Automation.

[19]  Andreas Stolcke,et al.  Within-class covariance normalization for SVM-based speaker recognition , 2006, INTERSPEECH.

[20]  Goutam Saha,et al.  Real time implementation of speaker identification system with frame picking algorithm , 2010, Biometrics Technology.

[21]  Roland Auckenthaler,et al.  Score Normalization for Text-Independent Speaker Verification Systems , 2000, Digit. Signal Process..

[22]  Florin Curelaru,et al.  Front-End Factor Analysis For Speaker Verification , 2018, 2018 International Conference on Communications (COMM).

[23]  Sharath Pankanti,et al.  Biometrics, Personal Identification in Networked Society: Personal Identification in Networked Society , 1998 .

[24]  David G. Stork,et al.  Pattern Classification , 1973 .