ВИКОРИСТАННЯ ВІДСТАНІ ЛЕВЕНШТЕЙНА ПРИ РОЗРОБЦІ ГОЛОСОВОГО АСИСТЕНТА

This research is devoted to exploring and implementing voice recognition methods utilizing neural networks for the development of a desktop application aimed at computer control through voice commands. Specifically, it investigates the application of the Levenshtein algorithm in the development of a voice assistant. The Levenshtein algorithm, renowned for its capability to calculate the edit distance between two strings, plays a pivotal role in enhancing the accuracy and robustness of voice recognition systems. By integrating the Levenshtein algorithm into the voice assistant, the application aims to improve its ability to accurately interpret and respond to a wide range of voice commands, thus enhancing user experience and usability.