With the continuous advancement of the digital transformation of vocal performance teaching, the shortcomings of traditional platforms in resource organization, learning support and feedback timeliness have become increasingly apparent. This paper constructs an intelligent multimedia platform, uses the multi-modal representation method of audio, video, text and interaction log fusion, combines learning behavior analysis to realize the generation of personalized learning paths, and designs a feedback closed-loop control mechanism. The experiment was carried out based on 96 students, 6 teachers and 3600 groups of effective samples. The results show that the average response time of the platform is 0.82 s, the recommendation accuracy is 91.6%, and the system availability is 99.1%. The comprehensive performance of the experimental group increased from 74.6 to 86.8, the learning engagement index increased from 0.61 to 0.83, and the repetition error rate decreased to 6.9%. The research shows that the platform can improve the precision support ability and training effect of vocal music teaching, and provide reference for the intelligent upgrading of vocal music performance teaching.
