Creativity in machines: Music composition using artificial intelligence

  • Lalit Kumar
  • Palash Goyal
  • Rishav Kumar
Keywords: Evo-Devo Approach, Hybrid Systems, Translational Models

Abstract

In this paper we propose a framework to take the next step towards making creative machines. Taking cue from Turing’s Mind Paper (1950) to more recent studies by Riedl in ‘’The Lovelace 2.0 test of artificial creativity and intelligence’ we try to examine a very creative area of human creativity – music. We have summarized the different works published on artificial intelligence and machine learning implemented for algorithmic music composition. Comparison of different algorithms-techniques including key features, advantages, disadvantages, common issues, trade-off and future aspects are discussed in detail. We then propose our own framework of how machines can be made to learn creativity.

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References

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Published
2020-08-29
How to Cite
Kumar, L., Goyal, P., & Kumar, R. (2020). Creativity in machines: Music composition using artificial intelligence. Asian Journal For Convergence In Technology (AJCT), 6(2), 36-40. Retrieved from http://asianssr.org/index.php/ajct/article/view/962