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Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. E. Khoury , B. Vesnicer, J. Franco-Pedroso, R. Violato, Z. Boulkenafet, L.M. Mazaira Fernández, M. Díez, J. Kosmala, H. Khemiri, T. Cipr, R. Saeidi, M. Gunther, J. Zganec-Gros, R. Zazo Candil, F. Simöes, M. Bengherabi, A. Álvarez Marquina, M. Penagarikano, A. Abad, M. Boulayemen, P. Schwarz,, D. Van Leeuwen, J. González-Domínguez, M. Uliani Neto, E. Boutellaa, P. Gómez Vilda, A. Varona, D. Petrovska-Delacretaz, P. Matejka, J. González-Rodríguez, T. Pereira, F. Harizi, L. J. Rodríguez-Fuentes, L. El Shafey, M. Angeloni, G. Bordel, G. Chollet, S. Marcel, "The 2013 speaker recognition evaluation in mobile environment" in International Conference on Biometrics (ICB), Madrid (Spain), 2013, 1-8 ; This paper evaluates the performance of the twelve primary systems submitted to the evaluation on speaker verification in the context of a mobile environment using the MOBIO database. The mobile environment provides a challenging and realistic test-bed for current state-of-the-art speaker verification techniques. Results in terms of equal error rate (EER), half total error rate (HTER) and detection error trade-off (DET) confirm that the best performing systems are based on total variability modeling, and are the fusion of several sub-systems. Nevertheless, the good old UBM-GMM based systems are still competitive. The results also show that the use of additional data for training as well as gender-dependent features can be helpful. ; This evaluation was supported by the European Union under the project BEAT contract no. FP7-284989 , as well as the Swiss National Science Foundation under the LOBI project.