Listeners consider AI-made music less expressive than near-identical human-made content
Year: 2024
Type: conference-abstract
DOI: 10.1121/10.0034929
Author: Christopher W. White
Institution: University of Massachusetts Amherst
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W4406344108