Challenge-based speaker recognition for mobile authentication

User authentication is a major trend to guarantee the security of electronic transactions when using mobile devices such as tablets or mobile phones. Biometrics is for us the only real user authentication method. In this article, we propose to realize a speaker recognition approach to achieve this goal. We use a challenge-based method to avoid the replay attack (especially if the impostor has recorded the user's voice). In this case, free text recognition is realized. Experimental results on the CMU database show very good results, while providing low computation times.

[1]  Biing-Hwang Juang,et al.  A vector quantization approach to speaker recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

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

[3]  P. Fränti,et al.  645 Improving Speaker Verification by Periodicity Based Voice Activity Detection , .

[4]  Vladimir Vapnik,et al.  Statistical learning theory , 1998 .

[5]  Ahsanul Kabir Vector Quantization In Text Dependent Automatic Speaker Recognition Using Mel-frequency Cepstrum Coefficient , 2007 .

[6]  F. Harris On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.

[7]  Tomi Kinnunen,et al.  Developing Speaker Recognition System: From Prototype to Practical Application , 2009, e-Forensics.

[8]  Shi-Huang Chen,et al.  Speaker Verification Using MFCC and Support Vector Machine , 2022 .

[9]  Douglas A. Reynolds,et al.  Robust text-independent speaker identification using Gaussian mixture speaker models , 1995, IEEE Trans. Speech Audio Process..

[10]  Stan Davis,et al.  Comparison of Parametric Representations for Monosyllabic Word Recognition in Continuously Spoken Se , 1980 .

[11]  Md. Saiful Islam,et al.  Speaker Identification using MFCC-Domain Support Vector Machine , 2010, ArXiv.

[12]  David K. Burton,et al.  Text-dependent speaker verification using vector quantization source coding , 1985, IEEE Trans. Acoust. Speech Signal Process..

[13]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

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

[15]  Alex Acero,et al.  Spoken Language Processing: A Guide to Theory, Algorithm and System Development , 2001 .