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Sound · MS elective · 3 credit hours · 16 sessions

Music Production with AI

This course introduces musicians and producers to the rapidly evolving world of AI Audio. Students will learn to use AI not to replace the musician, but to augment the studio workflow. The curriculum covers “Stem Separation” (isolating vocals/instruments), generative MIDI for composition ideas, AI-driven mixing and mastering, and voice synthesis. It explores the future of sound design where code meets melody.

§ 01 By the end you can
  1. Utilize AI tools for high-fidelity stem separation (vocals, drums, bass) from mixed audio
  2. Generate MIDI progressions and melodies using AI composition assistants
  3. Apply AI-driven mixing and mastering tools (e.g., Ozone, Landr) for professional polish
  4. Experiment with Voice Conversion (RVC) and synthetic vocals responsibly
  5. Navigate the complex copyright landscape of AI-generated music and samples
§ 02 Sixteen sessions

The whole semester.

  1. 01History of Algorithmic Composition
  2. 02Stem Separation: Spleeter, Lalal.ai, RX
  3. 03Generative MIDI: Chords & Melody
  4. 04AI in the DAW: Plugins & VSTs
  5. 05Timbre Transfer: Changing Instruments
  6. 06Generative Drum Sequencing
  7. 07Text-to-Music: Suno & Udio Basics
  8. 08 · MidtermMidterm Examination
  9. 09AI for Sound Design & Foley
  10. 10Voice Synthesis & Cloning (RVC)
  11. 11Text-to-Audio: Soundscapes
  12. 12AI Mixing Assistants (EQ/Compression)
  13. 13AI Mastering: Landr vs. Ozone
  14. 14Copyright & Music Law in AI
  15. 15The Future of the Music Industry
  16. 16Final Project: The AI-Augmented EP

Midterm around session 8. Final project briefed at session 8 or 9 and developed in stages until the juries.

§ 03 Final project

Final Project: The AI-Augmented EP

How it’s judged

Recommended reading
  1. The Computer Music Tutorial by Curtis Roads
  2. Electronic Music and Sound Design by Alessandro Cipriani
  3. Mixing with Impact by Wessel Oltheten
  4. Artificial Intelligence and Music Ecosystem by Martin Clancy
  5. Push Turn Move by Kim Bjørn
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