AI music generation uses advanced machine learning models trained on vast music datasets to analyze patterns in melodies, rhythms, and styles. Users provide input, such as genre, mood, instruments, or tempo, which guides the AI to create personalized compositions. Using algorithms like transformers or GANs, the AI composes coherent music, identifying suitable structures, chord progressions, and melodies. The process includes iterative refinement, allowing users to tweak settings and customize the output. The final product is delivered as MIDI files, audio tracks, or sheet music, making it suitable for everything from commercial projects to personal creativity.
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