Artificial Intelligence Technology Empowers Music Creation and Teaching: A Study on the Cultivation Path of Core Competencies for Music Professionals in the New Era

Abstract

With the rapid advancement of artificial intelligence technology, its deep integration with the field of music is reshaping the core paradigms of music creation and teaching. This study systematically explores the mechanisms and pathways through which intelligent technologies empower the competency development of music professionals, focusing on their roles in music structure analysis, creative capability reconstruction, and the transformation of teaching systems. By analyzing the applications of music information retrieval, deep learning generative models, and adaptive systems in the musical domain, this research reveals how technology innovates musical grammar and creative models. It further investigates how algorithm-assisted composition, human-computer collaborative creation, and intelligent audio processing expand creative boundaries and reconstruct musical language. On this basis, the study proposes an intelligent teaching framework based on personalized learning path generation, real-time feedback systems, and virtual music mentors to construct a future-oriented music education system. The research demonstrates that artificial intelligence technology not only provides new methodologies for music creation and teaching but also charts a direction for the systematic cultivation of core competencies among music professionals.