Refinement Approach for Enhancing Artificial Intelligence's Spoken Pronunciation Precision in Online Reading (KEY IJP************022)

• Dr K Pavan Kumar,Dr V V Subba Rao

Abstract

The paper aims to enhance the accuracy of spoken English pronunciation in virtual English reading environments by integrating artificial intelligence (AI) technology. It constructs a correction model for improving pronunciation accuracy, utilizing intelligent speech technology for speech synthesis. Here combines AI technology to develop a correction model for improving the accuracy of spoken English pronunciation. This likely involves utilizing machine learning algorithms, such as neural networks, to analyze and correct pronunciation errors and analyzes the process of speech synthesis using intelligent speech technology. This involves examining how speech is generated synthetically and understanding the underlying mechanisms. This paper contributes to the development of AI-driven systems for improving spoken English pronunciation in virtual reading environments. It outlines a comprehensive approach that combines advanced technologies, such as AI and statistical modeling, to address the challenges associated with pronunciation correction. The experimental results provide evidence of the system's effectiveness in meeting the defined objectives.