The article is devoted to increase of efficiency of the means of analysis of biometric characteristics of subjects, interacting with information-control systems of various purpose. It is shown that from the standpoint of the possibility of using as a sensor the reading of the biometric parameters of the standard peripheral equipment of the computer, the widespread use in the information-control systems of voice messages, their high informativeness, the complexity of falsification of biometric information, as well as the possibility of carrying out hidden monitoring, the prospects have analysis tools voice signal. The necessity of improvement of methodology of neural network analysis of voice signal for recognition of emotions and person is grounded. Possibility of increase of efficiency of neural network means of analysis due to adaptation of parameters of neural network model to the conditions of use is determined. The principles of determination of valid neural network models and the most effective type of neural network model used for voice signal analysis have been formed. A coding procedure for the input signal is developed, which allows to use in the neural network a compact
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