Cole, Ross. “The Problem with AI Music: Song and Cyborg Creativity in the Digital Age.” Popular Music, vol. 39, no. 2, May 2020, pp. 332–338, https://doi.org/10.1017/s0261143020000161.
Annotation: Dr. Ross Cole is an author and lecturer in music at the University of Cambridge where he studies the history of popular and experimental traditions from the 19th century to the present. This article serves as a commentary and informative piece about AI composition and how it will never be satisfactory for human imagination and our embodiment. He supports this claim throughout the paper through his explanation of the technology used for these AI generations with an emphasis on history and references other forms of art. This is valuable for my paper as it reinforces my own argument and provides background and theory that I can use as support, while also providing additional information about the subjects I am researching, as there is not much publicly available information regarding recent computational music.
Mycka, Jan, and Jacek Mańdziuk. “Artificial Intelligence in Music: Recent Trends and Challenges.” Neural Computing and Applications, 16 Nov. 2024, https://doi.org/10.1007/s00521-024-10555-x.
Annotation: Author Jan Mycka, a reasearcher based in Warshaw, Poland’s University of Technology, researches human behaviors in the context of music, specifically those harmonically and melodically. Author Jacek Mańdziuk is a professor at the Warshaw University of Technology and researches machine learning or computational intellegence. This article serves as a comprehensive guide for all relationships between AI and music, and is extremely thorough and extensive. Because it is so large, I have decided to work with only the portion that best suits my paper. The section I will be working with is section 2.1, which is all about AI music generation. This section is split into 7 subsections, with each section touching on different parts of how the music is generated, expressiveness of the music, and the potential problems of music generation. This is very valuable to my paper because there isn’t much information on exactly how music generation tools create their music. This source goes into detail about how the tools work and how “expressiveness” is created in AI music, something that is very important to improvisation and creativity in music. Convinently, this paper has a table of contents that makes it very easy to navigate, and is filled with various explanations about essential music theory knowledge that makes it more digestible for the reader.
Moreno, J. L. “Theory of Spontaneity-Creativity.” Sociometry, vol. 18, no. 4, Nov. 1955, p. 105, https://doi.org/10.2307/2785848. Accessed 26 Apr. 2020.
Annotation: Jacob L. Moreno was a very distinguished and highly honored psychiatrist, psychosociologist, and educator. He is best known for founding psychodrama, and being one of the founders of group therapy. He is known for his books on psychodrama and his many theories. This theory discusses the relationships between spontanious decisions and creativity and how they are very different. He uses Beethoven’s 9th Symphony as an example of how they are related, showing us how the interplay of his visions thoughts and inspirations that came during creative spurts are absent in the final work, and how ultimately creativity is a series of creative acts, requiring spontaneity as a catalyst. This text is valuable to me because it helps understand the psychological behavior behind improvisation, something that I will need to reference often as sponteneity and creativity are both very broad terms. This theory will help me narrow what parts I am talking about specifically in my paper when it comes to these topics. I am limited with this source because of the historical context, as some parts of this may be outdated. I will need to counteract this with current research.
Wilf, Eitan Y.. The Inspiration Machine: Computational Creativity in Poetry and Jazz, Chicago: University of Chicago Press, 2023. https://doi.org/10.7208/chicago/9780226828329
Annotation: Author Eitan Wilf is a cultural and semiotic anthropologist whose research interests focus on the institutional transformations of creative practice in the Western world. He has researched the topic of ethnographic fieldwork in collegiate jazz music programs in the U.S. The selection I have chosen to work with from this novel is his introduction, where he explores the ideas of collaboration and intersection in technology and creativity, and how technology is changing the notions, practices, and ideals of creativity in various forms of art, with him specifically using jazz as an example here. This is valuable to my paper because it explores many ideas and thoughts I have had while researching and does a lot of the difficult philosophizing for me. This source is also recent. One difficulty I can see myself going through will be with thinking for myself and forming my own thoughts on the matter, rather than choosing his thoughts and building my paper off of his thinking.
Davis, M., & Troupe, Q. (1990). Miles, the autobiography.
Belgrad, Daniel. (1999). The Culture of Spontaneity: Improvisation and the Arts in Postwar America.
Parker, C. (1978). Charlie Parker Omnibook. Los Angeles, CA: Atlantic Music Corporation.
Hutchinson, Robert. (2019). Music Theory for the 21st-Century Classroom. University of Puget Sound.