Diversified Intelligent Teaching Methods and Their Impact on Vocal Music Instruction

This research focuses on the application of multimedia technology and the Dynamic Time Warping (DTW) algorithm in university vocal music teaching. This model provides students with multi-dimensional learning experiences and targeted feedback. Experimental results show that students in the experimental group using this new model have significantly higher singing proficiency scores and better final singing levels compared to the control group. The average score of the experimental group increased by 26.15%, with 35% and 45% of students reaching excellent and good levels respectively, while the control group had an average score increase of 14.29%, with 15% and 40% of students reaching these levels. The DTW algorithm effectively handles performance differences, and multimedia technology enriches teaching resources, enhancing students' learning enthusiasm. Future research will focus on improving feature-matching algorithms, optimizing teaching software, and enhancing hardware performance to promote the development of efficient vocal music teaching.