Dissertations, Theses, and Capstone Projects
Date of Degree
9-2018
Document Type
Thesis
Degree Name
M.A.
Program
Liberal Studies
Advisor
Lev Manovich
Subject Categories
Digital Humanities | Science and Technology Studies
Keywords
music technology, computer music, music generation, sts, deep learning, machine learning
Abstract
Recent developments in artificial intelligence (AI) technology have led to industrial attempts at applying AI to music making, namely AI music. In the context of the history of music technology, AI music raises the prospect of a new phase that extends digital technology’s role as central mode of music production. The computer has become an essential metamedium in contemporary cultural production, leading in the field of music to the digitization of tools and content and the digitalization of social institutions and relationships. This technological change had the dual effect of decentralizing music production while reinforcing capitalist logic in it. The rise of AI foreshadows an intensification of this dual technological potential, as projects like Google Magenta that offer new affordances demonstrate.
Recommended Citation
Koh, Achim, "Music for AI Reports: Dual Prospects in Music Production" (2018). CUNY Academic Works.
https://academicworks.cuny.edu/gc_etds/2917