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Music Cognition System Using Fog Computing by rupali is a document available to read on EtoBox.

Fog computing is proposed as an architecture for a music cognition system that can automatically generate music scores by applying machine learning methods. As mobile device and IoT usage increases, music cognition has attracted more attention for music promotion. Fog computing is adopted to efficiently allocate computing resources for large-scale data processing by machine learning algorithms across networked music devices. The system collects raw music data using edge nodes, transmits it to cloud servers

Author

rupali

Language

EN