A Study on the Industrial Necessity and Future Value of Generative AI-Based Intelligent Music Coaching Systems -Focusing on the AI Experience (AX) of AI Companions-

Key Points

• The aim is to propose a generative AI-based intelligent music coaching system to address the limitations of traditional music education.
• Developed the MEW AI Architecture to enhance music coaching.
• Utilized state modeling and the Minimum Practice State framework to create personalized routines.
• Incorporated edge AI to emulate unique teaching methodologies of educators.
• The AI system improved objective assessments of learner progress with over 70% integration of unconscious play data.
• Established an innovative educational ecosystem that integrates human educators' unique teaching styles with data-driven metrics.
• Promoted a new industrial standard that upholds educational quality through collaboration between AI and human instructors.