English pronunciation quality evaluation system based on data mining algorithm

Chinese English learners are constrained by factors such as the English learning environment and educational level, and have encountered many problems in oral learning. For the evaluation of English pronunciation quality, some existing CAT systems both domestically and internationally focus on vocabulary and grammar learning in oral teaching. The evaluation of English oral exams is still conducted manually, with issues such as high subjectivity, uneven standards, slow speed, repeatability, and instability. With the continuous improvement of big data, cloud technology, and language teaching methods, the English speech recognition and pronunciation quality evaluation system based on DM algorithm will bring new opportunities for English oral teaching, correcting pronunciation errors, and improving English oral proficiency.