Abstract
The article presents the determination of limitations of automated speaker recognition systems for critical use. The system, unlike the existing speaker recognition systems, allows predicting the authenticity of the recognition results. It was obtained due to the recognition of matrices with values estimates of interclass relations and interclass distances in the space of classes of speakers, which had fallen to the formulated universal criteria of authenticity evaluation of speaker recognition. The obtained theoretical results were embodied in a modification of the input layer of the threelayered perceptron, which finalizes speaker recognition process by convolution deep neural network.