The 2013 speaker recognition evaluation in mobile environment

Elie Khoury, Bostjan Vesnicer, Javier Franco-Pedroso, Ricardo P. V. Violato, Z. Boulkcnafet, L. M. Mazaira Fernandez, Mireia Díez, J. Kosmala, Houssemeddine Khemiri, T. Cipr, Rahim Saeidi, Manuel Günther, Jerneja Zganec-Gros, Rubén Zazo-Candil, Flávio O. Simões, Messaoud Bengherabi, Agustín Álvarez Marquina, Mikel Peñagarikano, Alberto Abad, M. Boulayemen et al. (18 additional authors not shown)

Abstract: 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.