English

Towards Automation of Creativity: A Machine Intelligence Approach

Sound 2019-04-30 v1 Artificial Intelligence Audio and Speech Processing

Abstract

This paper demonstrates emergence of computational creativity in the field of music. Different aspects of creativity such as producer, process, product and press are studied and formulated. Different notions of computational creativity such as novelty, quality and typicality of compositions as products are studied and evaluated. We formulate an algorithmic perception on human creativity and propose a prototype that is capable of demonstrating human-level creativity. We then validate the proposed prototype by applying various creativity benchmarks with the results obtained and compare the proposed prototype with the other existing computational creative systems.

Keywords

Cite

@article{arxiv.1904.12194,
  title  = {Towards Automation of Creativity: A Machine Intelligence Approach},
  author = {Subodh Deolekar and Siby Abraham},
  journal= {arXiv preprint arXiv:1904.12194},
  year   = {2019}
}

Comments

31 pages, 24 figures, 12 tables

R2 v1 2026-06-23T08:51:15.856Z