Region - Educational Research and Reviews

This study explores the deep integration of English listening and speaking instruction with artificial intelligence technology from an interdisciplinary perspective. By analyzing the neural mechanisms underlying speech cognition, we developed a deep learning-based intelligent teaching system architecture. The research employs core technologies such as automatic speech recognition and neural network speech synthesis to design personalized training models. Empirical evidence demonstrates that AI-assisted teaching significantly outperforms traditional methods in enhancing learners' speech perception accuracy and oral fluency. The findings provide theoretical foundations and technical pathways for the digital transformation of foreign language education, while promoting interdisciplinary innovation in computational linguistics and second language acquisition theory.