AUTOMATIC SPEECH RECOGNITION AND NATURAL LANGUAGE PROCESSING

Abstract

The integration model of Automatic Speech Recognition (ASR) and Natural Language Processing (NLP) has become one of the critical issues in technological development in recent years. This study examines the importance of artificial intelligence algorithms in converting speech to text and analyzing it. The application, efficiency, and technological capabilities of the model are deeply analyzed. Furthermore, it demonstrates how the integration of automatic speech recognition algorithms with natural language processing systems opens the door to new opportunities for next-generation data processing technologies.