  This is a description of our effort in VOiCES 2019 Speaker Recognition
challenge. All systems in the fixed condition are based on the x-vector
paradigm with different features and DNN topologies. The single best system
reaches 1.2% EER and a fusion of 3 systems yields 1.0% EER, which is 15%
relative improvement. The open condition allowed us to use external data which
we did for the PLDA adaptation and achieved less than ~10% relative
improvement. In the submission to open condition, we used 3 x-vector systems
and also one i-vector based system.
