Visual Signatures of Music Mood
Hanqin Wang, Alexei Sourin · 2023
Majority of the existing methods of music visualization utilized mostly frequency, tempo and volume which are rendered in realtime as animated images for the music being played. Visualization of music as static images is rarely addressed. In this paper, we propose visual signatures – static images which are generated using artificial intelligence to visualize the music mood.