Improving the efficiency of voice control robots based on adaptive procedures

The paper considers the task of improving the efficiency of voice control of robots on the basis of adaptive procedures. This problem is considered in the context of noise resistance processing of speech signals for voice recognition subsystems. A solution to this problem is found in classes of adaptive algorithms for filtering voice signals based on sequential filtering. This model allows to improve the adaptation of speech commands to the modern “aggressive” noise environment and to increase the accuracy of recognition of the planned movement of mobile robots. The simulation results of the proposed algorithm demonstrate a reduction in measurement error and errors in the detection of voice commands for mobile robot voice control subsystems.