Explore various techniques for generating music in this comprehensive video lecture. Delve into symbolic AI, deep learning, optimization algorithms, complex systems, and statistical methods used in generative music AI. Discover specific examples like CHORAL, GenJam, CAMUS, Continuator, and DeepBach. Gain insights into the strengths and limitations of each approach, and understand why there's no single perfect solution for generative music. Access additional resources, including lecture slides and a Slack community for further discussion. Conclude with key takeaways and a preview of upcoming topics in the field of generative music AI.
Overview
Syllabus
Intro
Generative music taxonomy
Symbolic AI
CHORAL
Optimazation techniques
GenJam
Complex systems
CAMUS
Statistical methods
Continuator
Deep learning
DeepBach
No silver bullet
Additional resources
Key takeaways
What's up next?
Taught by
Valerio Velardo - The Sound of AI
