A Teaching Mode of College English Listening in Intelligent Phonetic Environments

Abstract

This paper discusses the integration of cutting-edge technologies, especially artificial intelligence (AI) and speech synthesis in UETL environment. By using methods based on artificial intelligence, such as Fuzzy Convolutional Neural Network (FCNN) and Improved Hidden Markov Model (MHMM), this study aims to reform the traditional teaching paradigm. Through the in-depth study of the experiment, it illustrates how these innovations can enhance students' autonomous learning, understanding and participation in English language education. The implementation of speech synthesis mechanism realizes the conversion from real-time speech to text, and promotes interactive learning experience and personalized feedback. The comparative analysis before and after adopting advanced teaching methods shows that students' learning achievements and the overall effectiveness of UETL process have been significantly improved. This study emphasizes the revolutionary potential of integrating artificial intelligence and speech synthesis technology to optimize college English education.