English Listening Teaching Mode under Artificial Intelligence Speech Synthesis Technology

Abstract

To discuss the application of artificial intelligence (AI) speech synthesis technology and wireless network technology in English listening teaching, firstly, the present situation of English listening teaching is analyzed. Secondly, a questionnaire is designed to investigate the feasibility of AI speech synthesis technology in English listening teaching. Finally, the control group (a traditional mode of English listening teaching) and experimental group (AI speech synthesis technology) are set up, compared, and analyzed. The survey shows that for natural fluency, speech synthesis has the lowest score. The textbook audio score is the highest, with an average score of 4.23. According to the mean opinion score (MOS), the AI speech synthesis technology belongs to high-quality speech coding. Therefore, the English audio generated by combining AI speech synthesis technology under wireless network technology also has high quality. Meanwhile, 113 people in the survey consider that the clear articulation of the synthesized audio is full marks, which is clearer than the English audio matching the textbook, indicating that students think the English audio of the supporting textbook is poor in the clear articulation, which affects students’ listening. Moreover, the English listening scores of the experimental group are notably better than those of the control group. It is hoped that the traditional teaching mode can be better integrated with wireless networks and AI technology, thereby improving the clarity of English listening, providing mobile learning, and advancing students' English performance and learning efficiency.