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This is a description of our effort in VOiCES 2019 Speaker Recognitionchallenge. All systems in the fixed condition are based on the x-vectorparadigm with different features and DNN topologies. The single best systemreaches 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 whichwe did for the PLDA adaptation and achieved less than ~10% relativeimprovement. In the submission to open condition, we used 3 x-vector systemsand also one i-vector based system.

BUT VOiCES 2019 System Description