This article is aimed to describe the method of testing the implementation of voice\ncontrol over operating and technical functions of Smart Home Come. Custom control\nover operating and technical functions was implemented into a model of Smart Home\nthat was equipped with KNX technology. A sociological survey focused on the needs of\nseniors has been carried out to justify the implementation of voice control into Smart\nHome Care. In the real environment of Smart Home Care, there are usually unwanted\nsignals and additive noise that negatively affect the voice communication with the\ncontrol system. This article describes the addition of a sophisticated system for filtering\nthe additive background noise out of the voice communication with the control system.\nThe additive noise significantly lowers the success of recognizing voice commands to\ncontrol operating and technical functions of an intelligent building. Within the scope\nof the proposed application, a complex system based on fuzzy-neuron networks,\nspecifically the ANFIS (Adaptive Neuro-Fuzzy Interference System) for adaptive\nsuppression of unwanted background noises was created. The functionality of the\ndesigned system was evaluated both by subjective and by objective criteria\n(SSNR, DTW). Experimental results suggest that the studied system has the potential\nto refine the voice control of technical and operating functions of Smart Home Care\neven in a very noisy environment.
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