How computer algorithms can generate musical structures through probability and logic
In short: This MIT lecture explores the intersection of computation and music. It introduces the mechanics of algorithmic composition, specifically focusing on Markov chains, and provides a practical look at using the Music21 toolkit for analyzing chords and Roman numerals.
Part of the Spring 2023 course 21M.383, Computational Music Theory and Analysis, this session led by instructor Michael Scott Asato Cuthbert examines how mathematical models can be applied to musical creation. The lecture centers on algorithmic composition, a method where rules or processes are used to generate musical output.
A key focus is the application of Markov chains—probabilistic models that predict future states based on current ones—to musical sequences. Additionally, the session introduces students to the Chord and Roman Numeral modules within Music21, a Python-based toolkit designed for computer-aided musicology.
Opens the Intellect+ feed with this card first. Swipe up for the next one.
Sources
- Summary by Intellect · source: Class 23 Video: Algorithmic Composition
To cite this card, link to https://intellectplus.co.uk/app/ideas-class-23-video-algorithmic-composition.
How we source, check and correct cards: Editorial standards.
General information, not professional advice. Spotted an error? Flag the card or see corrections and complaints.
Intellect Plus is a visual educational discovery platform for exploring fascinating facts and ideas. Brain Food, Not Brain Rot. What is Intellect Plus?
