aceIntegrating 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…
Cloud-edge synergy architecture for AI music generation empowers educational use by enabling resource democratization, personalized learning, and pedagogical innovation in latency-sensitive settings.
Paper identifies unresolved system, model, ethical/copyright, and privacy/security challenges that constrain scalable deployment in education and performance domains.
Evidence
- Peer-reviewedJournal of Cloud Computing2026-03-09
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Truvace Impact Record TRV-2026-0283, v1: “Integrating AI and cloud-edge technologies for music creation in educational and performance domains.” Truvace, 2026-07-19. /record/TRV-2026-0283 (accessed at citation time). sha256 7c65349762d57610…
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