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
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