Speech recognition and its transformation into text using deep learning on a mobile device ON A MOBILE DEVICE

Abstract

This article discusses modern approaches to speech recognition and speech-to-text conversion using deep learning in mobile applications. With the growing demand for innovative mobile technologies, speech recognition is becoming an important tool for improving the user experience and creating intuitive interfaces. Key technologies such as artificial intelligence (AI), neural networks, and deep learning methods used to improve the accuracy and speed of speech processing in mobile devices are considered. Special attention is paid to the performance requirements of mobile applications, data security, and algorithm optimization for use on devices with limited resources. The existing solutions are analyzed and recommendations for creating effective speech recognition systems for mobile applications are presented.