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User:Moltenonyxx/Music and artificial intelligence

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I plan on focusing on editing the "Software Applications" section of the article and to go further into the topic on how AI and more advanced technology will affect music production.

The idea of getting untraditional means of help when creating music isn't a new concept.[1]The idea of having something, like AI, have the ability to make something that for humans would take so many resources and thought power and have it do it quickly and seemingly effortlessly, was and is appealing to some individuals. [2] As the world is moving forward and evolving, AI affecting the music industry changes every day. People are creating virtual personas that can sing. [3]So many versions of AI music generation exists, each with a different set of skills and limits. Not all are easily accessible either, and not all can be used just anywhere by anyone.[4] Though because of the already known abilities of advanced AI, a lot of people are scared that implementing AI into music generation could completely change the way of music production as we know it.[5] Music generating AI has already broken some of the 'rules' of music production, like combining styles or aspects of different music genres. [6] Some believe this is just the next step for music, as AI is just science plus it already being a part of several other things.[7] Though the means of how music generating AI is created, its not so much different from how its always happened inside the human mind. AI is being created with artificial neural pathways and thought processes like the human brain. We are creating a software to function like the human brain.[8]Music as been described as the universal language several times over history, in that anyone can enjoy music even if they know very little or none at all. That music and AI generated music is all the same no matter how its made. [9]

  1. ^ Civit, Miguel; Civit-Masot, Javier; Cuadrado, Francisco; Escalona, Maria J. (2022-12-15). "A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends". Expert Systems with Applications. 209: 118190. doi:10.1016/j.eswa.2022.118190. ISSN 0957-4174.
  2. ^ Kaliakatsos-Papakostas, Maximos; Floros, Andreas; Vrahatis, Michael N. (2020-01-01), Yang, Xin-She (ed.), "Chapter 13 - Artificial intelligence methods for music generation: a review and future perspectives", Nature-Inspired Computation and Swarm Intelligence, Academic Press, pp. 217–245, ISBN 978-0-12-819714-1, retrieved 2023-12-12
  3. ^ Sharma, Sejal (2023-09-06). "Warner Music signs a record deal with first AI pop singer". interestingengineering.com. Retrieved 2023-12-12.
  4. ^ Deruty, Emmanuel; Grachten, Maarten; Lattner, Stefan; Nistal, Javier; Aouameur, Cyran (2022-02-07). "On the Development and Practice of AI Technology for Contemporary Popular Music Production". Transactions of the International Society for Music Information Retrieval. 5 (1): 35–49. doi:10.5334/tismir.100.
  5. ^ Oksanen, Atte; Cvetkovic, Anica; Akin, Nalan; Latikka, Rita; Bergdahl, Jenna; Chen, Yang; Savela, Nina (2023-08-01). "Artificial intelligence in fine arts: A systematic review of empirical research". Computers in Human Behavior: Artificial Humans. 1 (2): 100004. doi:10.1016/j.chbah.2023.100004. ISSN 2949-8821.
  6. ^ Zacharakis, Asterios; Kaliakatsos-Papakostas, Maximos; Kalaitzidou, Stamatia; Cambouropoulos, Emilios (2021). "Evaluating Human-Computer Co-creative Processes in Music: A Case Study on the CHAMELEON Melodic Harmonizer". Frontiers in Psychology. 12. doi:10.3389/fpsyg.2021.603752. ISSN 1664-1078. PMC 7983946. PMID 33762994.
  7. ^ Ozenc-Ira, Gözde (2023-06-01). "Mapping research on musical creativity: A bibliometric review of the literature from 1990 to 2022". Thinking Skills and Creativity. 48: 101273. doi:10.1016/j.tsc.2023.101273. ISSN 1871-1871.
  8. ^ Shih, Yi-Jen; Wu, Shih-Lun; Zalkow, Frank; Müller, Meinard; Yang, Yi-Hsuan (2023). "Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer". IEEE Transactions on Multimedia. 25: 3495–3508. arXiv:2111.04093. doi:10.1109/TMM.2022.3161851. Retrieved 2023-12-12.
  9. ^ Ji, Shulei; Yang, Xinyu; Luo, Jing (2023-08-25). "A Survey on Deep Learning for Symbolic Music Generation: Representations, Algorithms, Evaluations, and Challenges". ACM Computing Surveys. 56 (1): 7:1–7:39. doi:10.1145/3597493. ISSN 0360-0300.
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