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Published June 7, 2022 | Version v1
Conference paper Open

Personalizing AI for Co-Creative Music Composition from Melody to Structure

  • 1. Univ. Lille, CNRS
  • 2. Normandie Univ., Univ. Picardie Jules-Verne


Co-creativity is a unique artistic situation where human interact with computer, and raises challenges on interaction, steerability, and personalization.

We present a new co-creative music composition approach that we used for our participation in the ``AI Song Contest 2021'', an international music contest involving artificial intelligence (AI). We *personalize* the artificial creativity methods to adapt to the needs and expectations of a composer. Interactions between the composer and different AI methods occurred throughout the whole composition process, for the generation of melodies, chord progressions, global structure, and textural variations, both through *data sharing* for machine learning based AI and through *knowledge sharing* for rule-based AI.

We describe these AI methods and how the composer interacted with them: The personalization of the AI enabled the composer to explore new musical territories while keeping their original style, with AI music generation which ``sounds like it has been generated for him''. The song ``The last moment before you fly'' ranked 3rd place in this contest, the jury underlining the ``personal feel'' of the song. We discuss here how these methods open the way to new co-creative approaches, both using AI and personalization.



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