A. A. Konev

V. I. Fedoseev, A. A. Konev, A. Yu. Yakimuk

In multilingual speech recognition systems, a situation can often arise when the language is not known in advance, but the signal has already been received and is being processed. For such cases, some generalized model is needed that will be able to respond to phonetic differences and, depending on them, correctly recog-nize speech in the desired language. To build such a model, it is necessary to set the values of phonetic parameters, and then compare similar sounds, establishing significant differences.

A. K. Novokhrestov, A. A. Konev, A. S. Kovalenko et al.

Every day around the world, various organizations are exposed to more than a hundred attacks, most of which are success-fully repelled by information security specialists. However, attacks are also carried out that some information systems or specialists are unable to repel, which is why a large number of enterprises, as well as individuals, suffer huge monetary and reputational losses. The aim of the work is to train specialists through cyber polygons and interactive games to a high level of knowledge and skills in the field of information security

A. A. Konev, V. S. Khlebnikov, A. Yu. Yakimuk

Distinctive features of the created speech frame are: the ability to take into account the emotional state of the speaker, sup-port for working with diseases of the speech-forming tract of speakers and the presence of manual segmentation of a num-ber of speech signals. In addition, the system is focused on Russian-language speech material, unlike most analogs.