11. Markov Chains - Generative Music AI Course

Learn how Markov chains work and how you can leverage them to generate music. Learn its use cases in generative music (e.g., melody, rhythm, form, dynamics generation). Learn the strengths and limitations of Markov chains for generative music.

Get the lecture slides:
https://github.com/musikalkemist/generativemusicaicourse/blob/main/11.%20Markov%20chains/Slides/11.%20Markov%20chains.pdf

Website of the Generative Music AI Workshop in Barcelona:
https://www.upf.edu/web/mtg/generative-music-ai-workshop

Sign up to The Sound of AI Slack Community to join the discussion:
https://valeriovelardo.com/the-sound-of-ai-community/

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Interested in music AI consulting?
https://thesoundofai.com/consulting.html

Interested in music AI recruitment?
https://thesoundofai.com/recruitment.html

Become a Python ninja with my Advanced Python Programming course:
https://the-sound-of-ai-academy.teachable.com/p/advanced-python-programming

Connect with Valerio on LinkedIn:
https://www.linkedin.com/in/valeriovelardo

Follow Valerio on Twitter:
https://twitter.com/musikalkemist

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Content
0:00 Intro
0:46 Intuition
7:11 Formalisation
11:11 Modelling music with Markov chains
22:40 Pros and cons
24:50 Key takeaways
26:19 What's next?

Видео 11. Markov Chains - Generative Music AI Course канала Valerio Velardo - The Sound of AI