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Markov Chains for Generative Music AI - Lecture 11

Offered By: Valerio Velardo - The Sound of AI via YouTube

Tags

Markov Chains Courses Music Theory Courses Probability Theory Courses Algorithmic Composition Courses Generative Music Courses

Course Description

Overview

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Explore the fundamentals of Markov chains and their application in generative music AI in this 27-minute video lecture. Gain insights into how Markov chains function and can be utilized to generate various musical elements, including melodies, rhythms, form, and dynamics. Delve into the intuition behind Markov chains, their formal representation, and practical implementation in music modeling. Analyze the advantages and limitations of using Markov chains for generative music, and grasp key takeaways to enhance your understanding of this powerful technique. Access accompanying lecture slides, join discussions in The Sound of AI Slack Community, and discover additional resources for further learning in music AI and advanced Python programming.

Syllabus

Intro
Intuition
Formalisation
Modelling music with Markov chains
Pros and cons
Key takeaways
What's next?


Taught by

Valerio Velardo - The Sound of AI

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