The 2013 speaker recognition evaluation in mobile environment
E. Khoury, Boštjan Vesnicer, Javier Franco-Pedroso, Ricardo P. V. Violato, Z. Boulkcnafet, Luis Miguel Mazaira Fernández, Mireia Díez, J. Kosmala, Houssemeddine Khemiri, Tomas Cipr, Rahim Saeidi, Manuel Günther, Jerneja Žganec Gros, Rubén Zazo Candil, Flávio O. Simões, Messaoud Bengherabi, Agustín Álvarez-Marquina, Mikel Peñagarikano, Alberto Abad, M. Boulayemen · 2013
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.