VOICE CONTROL OF SERVICE TECHNICAL DEVICES: PRINCIPLES, TECHNOLOGIES, AND DEVELOPMENT DIRECTIONS

This article examines the issue of voice control for technical service equipment. With the advancement of artificial intelligence, neural networks, and speech recognition technologies, the use of voice control systems in various service sectors is expanding significantly. This paper analyzes the nature and technical principles of such systems, including speech signal processing algorithms, architectural designs, and the processes involved in converting voice commands into actions. It also examines security issues, technical and linguistic limitations, speech recognition accuracy, and factors affecting system performance. The study is based on the experience of implementing voice control in service robots, home appliances, communication systems, and smart home environments. Particular attention is paid to the prospects for further development in this field, including the refinement of algorithms, the expansion of datasets, and the improvement of the reliability of recognition systems. It has been shown that the use of voice control helps to increase the level of automation and convenience of device operation. Building on existing virtual assistants, Tajik virtual assistant has been developed for use in retail settings. Such technologies also play an important role in ensuring the accessibility of digital services for users with physical disabilities. It is noted that the growing number of “smart” products and services underscores the need for further development of voice control systems. This article may be of interest to researchers, students, and engineers working in the fields of artificial intelligence, automation, and digital technologies.

voice control, speech recognition, artificial intelligence, service technology, neural networks, automation, human–machine interface, information security.

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2026-04-03