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1
Intro
2
Generative music taxonomy
3
Symbolic AI
4
CHORAL
5
Optimazation techniques
6
GenJam
7
Complex systems
8
CAMUS
9
Statistical methods
10
Continuator
11
Deep learning
12
DeepBach
13
No silver bullet
14
Additional resources
15
Key takeaways
16
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Description:
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.

Generative Techniques for Music AI

Valerio Velardo - The Sound of AI
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