Search

Speech recognition technologies are becoming more and more part of our lives, providing a convenient way to control a variety of electronic devices - voice control. One of the current problems that is solved in the development of such control systems is the problem of insufficient accuracy of voice command recognition. Improvements are being made to increase reliability, independence from individual voice characteristics, and reduce the negative impact of background noise on recognition quality. The paper presents an algorithm for recognizing and processing user intentions using a neural network built on the principle of understanding natural language and processing audio signals for use in the user support system., В роботі наведено алгоритм розпізнавання і обробки Запитів користувача за допомогою нейронної мережі побудованої на принципі розуміння природної мови та обробки відеоряду для використання в системі підтримки користувачів.

В роботі наведено алгоритм розпізнавання і обробки Запитів користувача за допомогою нейронної мережі побудованої на принципі розуміння природної мови та обробки відеоряду для використання в системі підтримки користувачів. Speech recognition technologies are becoming more and more part of our lives, providing a convenient way to control a variety of electronic devices - voice control. One of the current problems that is solved in the development of such control systems is the problem of insufficient accuracy of voice command recognition. Improvements are being made to increase reliability, independence from individual voice characteristics, and reduce the negative impact of background noise on recognition quality. The paper presents an algorithm for recognizing and processing user intentions using a neural network built on the principle of understanding natural language and processing audio signals for use in the user support system.