Construction of English Teaching System Based on Deep Learning Models and Artificial Intelligence Technology

With the continuous development of artificial intelligence, big data, and information technology, it is now possible not only to provide high-quality teaching resources but also to create realistic foreign language teaching environments. This article introduces an English teaching system based on artificial intelligence technology. The system adopts deep learning models, including three modules: speech recognition, machine translation, and speech synthesis, which can provide personalized English learning experiences for students and improve learning efficiency and quality. The article provides detailed explanations on data preprocessing, system architecture, system implementation, and testing. The comprehensive testing results prove the superiority of the system in speech recognition, machine translation, and speech synthesis. The system has high practical value and teaching effectiveness, and can provide strong support for the development of English education. The system's superiority is also reflected in its ability to handle different types and sources of data, enabling accurate recognition, translation, and speech synthesis of student speech recordings and text information. The system has broad application prospects in the field of English education and can meet the different needs of students and teachers, providing new ideas and methods for the modernization and personalization of English education. The results show that this teaching mode can fully stimulate students' learning enthusiasm and initiative, thereby improving the quality of English teaching. The key words for this article are English education, deep learning, artificial intelligence technology, speech recognition, and speech synthesis.