Using Speech Recognition Algorithms to Improve Listening Training in College English Listening Instruction
Year: 2025
Type: conference-paper
Abstract: English listening proficiency is a cornerstone of foreign language acquisition and effective communication. This system optimizes college-level English listening instruction through integrated speech recognition algorithms, employing an interactive personalized training model that instantly converts spoken content into written expressions while providing real-time feedback on comprehension accuracy and pronunciation precision. The platform also offers learner-customized practice materials to help students address specific weaknesses. Implementing speech recognition technology in listening courses not only delivers immersive learning experiences but also enables teachers to monitor student progress with greater precision.
Authors: Xiaohua Chen, Shu Chen
Institution: Zhanjiang University of Science and Technology
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4414931807