The idea behind Improv is to give a musician or a machine the same backing track. To see what they could come up with on top of the same underlying music. I also found a deep learning generated solo, a heavy metal one. This one was all AI learned. No person gave the AI any hints, any mathematical formulas to generate the solos. It just learned from listening to all matters of heavy metal solos and constructed one on the spot.
On this show we explore three different AI and machine-generated music technologies; vocal emulators that allow you to deep fake a singer or rapper’s voice, AI-generated compositions and text-to-music generators like Google Music LM and Open AI’s Jukebox, and musical improvisation technologies. We listen to the variety of music these technologies generate, and two guitarists face off against an AI in improvised guitar solos.
Along the way, we talk to philosophers of music Robin James and Theodore Gracyk about what musical creativity is and whether machines are more or less creative than human musicians, and Barry gives his take on each of the technologies and what they mean for the future of musical creativity.
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