Construction of a Popular Vocal Teaching System Empowered by Artificial Intelligence: Double Helix Innovation of Technological Integration and Humanistic Reshaping

Abstract

Artificial intelligence technology is leading popular vocal teaching into a new era of intelligence, achieving innovative upgrades in
teaching paradigms through voiceprint feature analysis and dynamic learning path planning.
??This study innovatively integrates multimodal emotion computing and singing biomechanics analysis to develop an intelligent teaching
system with real-time resonance peak correction function, effectively solving the drawbacks of traditional teaching that relies on experience
and neglects emotional expression.
??Empirical research has shown that the system can significantly improve students vocal range expansion efficiency (up to 37%) and style
transfer accuracy (up to 89.6%), providing strong support for personalized teaching.
??To further optimize teaching effectiveness, this study proposes the AI+OMO (online offline integration) hybrid teaching model, which
combines the convenience of online intelligent feedback with the depth of offline humanistic guidance to construct a three-dimensional ability
cultivation system covering skill training, emotional expression, and stage practice.
??This system not only enhances students professional skills, but also promotes the comprehensive development of their emotional expression and stage performance, opening up a new path for the cultivation of popular vocal talents.
??This study provides theoretical and practical references for the intelligent transformation of music education, and has important value.