Research on Interactive Learning Platform Based on Speech Recognition and Generation Technology in Higher Education English Classroom Teaching

Abstract

The application of an interactive learning platform based on speech recognition and speech synthesis technologies in college English classrooms can facilitate effective speech-based interactive learning between teachers and students. This paper analyzes the use of interactive learning platforms in college English education to explore methods for enhancing learning outcomes. The teaching platform developed in this paper can receive and process speech data using speech recognition technology to assess the accuracy of students' pronunciation during reading aloud and provide feedback to learners. Additionally, speech synthesis technology is utilized to create authentic and diverse teaching scenarios for speech dictation, thereby enhancing students' listening comprehension skills. Furthermore, speech synthesis technology is used to help students “imitate” real people and “immerse” themselves in teaching scenarios and real-life teaching situations, thereby increasing students' in-class listening and speaking time and achieving constructive application of student learning evaluations. Research results show that the use of this teaching platform has improved human pronunciation accuracy from 76.5% to 91.2%, increased the number of speaking instances from 3.6 to 5.7, and significantly enhanced student participation and interest in learning. The platform can intelligently analyze learning trajectories and provide personalized feedback through interaction with individuals, serving teachers in developing differentiated instruction for students. By applying speech recognition and speech generation technology to analyze learners' pronunciation and provide feedback, this study assists English classrooms in achieving a new form of interactive education, which holds significant positive implications for the effective implementation of English education and teaching.