1. A speaker recognition device comprising: a memory device storing speech samples including, dual sets of speech samples attributed to the same speaker, a cohort set of speech samples not attributed to the same speaker as the dual sets, and a set of speaker models; and a processor-based device configured to model a deep neural network with a triplet network architecture, wherein the processor-based device trains the deep neural network according to a batch process in which the dual sets of speech samples are fed through the deep neural network in combination with the cohort set of speech samples, and wherein the processor-based device feeds a recognition speech sample through the trained deep neural network, and verifies or identifies a user based on an output of the trained deep neural network responsive to the recognition speech sample and at least one of the speaker models.