Integrating AI and cloud-edge technologies for music creation in educational and performance domains
This paper provides a systematic exploration of Artificial Intelligence (AI) for music generation within a cloud-edge synergy architecture (i.e. a coordinated cloud–edge computing paradigm where the cloud handles compute-intensive training and high-fidelity generation, while the edge supports latency-sensitive and privacy-critical inference and interaction), focusing on its deep integration and practical applications across educational and performance ecosystems. It begins by reviewing the evolution of key techn…

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