Automatic Recognition and Verification of Voice Commands in Natural Language Given by the Operator of the Technological Device Using Artificial Neural Networks

Abstract

In the future, voice messages in natural language will undoubtedly be the most important way of communication between humans and machines. Great progress is made in many fields of science, where communication between the technological devices and the operator is an important task, e.g. motorization, road traffic, etc. The condition of the effectiveness of the presented intelligent two-way voice communication system between the technological device and the operator is to equip it with mechanisms of command verification and correctness. In the automated processes of production, the condition for safe communication between the operator and the technological device is analyzing the state of the technological device and the process before the command is given and using artificial intelligence for assessment of the technological effects and safety of the command. In operations of the automated technological processes, many process states and various commands from the operator to the technological device can be distinguished. A large number of combined technological systems characterize the realization of that process. In complex technological processes, if many parameters are controlled, the operator is not able to analyze a sufficient number of signals and react by manual operations on control buttons. The research aiming at developing an intelligent layer of two-way voice communication is very difficult, but the prognosis of the technology development and its first use shows a great significance in efficiency of supervision and production humanization.