AI-Generated Music: Tech, Copyright & Real-World Applications with Mateusz Modrzejewski

Behind the Commit

In this episode, I talk with Mateusz Modrzejewski, a professional musician and AI researcher and assistant professor at the Warsaw University of Technology, about AI-generated music: how it works, what artists think about it, the big copyright questions, and where AI tools can genuinely support the creative process instead of replacing it.

Outline

00:00 Episode highlights and introduction

00:49 Thoughts on AI-generated music

02:09 The good sides of AI

03:40 The bad sides of AI

04:43 How do professional musicians feel?

08:03 The data scraping problem and data poisoning research

11:33 How AI music generation actually works

15:04 How to start experimenting with AI music

18:26 Future of the music industry

25:22 The AI song contest

29:15 Resources to learn more

🎙️ This episode was recorded live at the Venture café at PyWaw in Warsaw.

Episode links

• AI song contest: https://www.aisongcontest.com/
• Librosa library: https://github.com/librosa/librosa
• Pedalboard library: https://github.com/spotify/pedalboard
• Intelligent Instruments Lab: https://iil.is/
• PanGenerator: https://pangenerator.com/
• Pyo library: https://github.com/belangeo/pyo
• ISMIR tutorials: https://ismir.net/resources/tutorials/
• Beyond supervised learning book: https://music-classification.github.io/tutorial/landing-page.html
• Fundamentals of Music Processing book: https://www.researchgate.net/publication/288774112_Fundamentals_of_Music_Processing
• NIME conference: https://www.nime.org/
• ZAiKS Lab https://www.zaikslab.tech
• ⁠Warsaw University of Technology https://www.pw.edu.pl