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- Allison Parrish, Recursion and Context-Free Grammars, Tracery and Python
- Daniel Shiffman, Context-Free Grammar
- Gary Bernhardt, Computation Explained Briskly, for Programmers
- Jeffrey Kegler, Parsing: a timeline
- Kate Compton, Tracery
- Matt Might, The language of languages
History of Generative Music
- Kyle McDonald, Neural Nets for Generating Music
- Samim Winiger, Music with Context-Free Grammars
- Tero Parviainen, How Generative Music Works
"How do we get diversity back into bluegrass?"
- Rhiannon Giddens, Keynote Address – International Bluegrass Music Association Business Conference 2017
- Simone Giertz: "I've carved out this little niche for myself on the internet as an inventor of useless machines, because as we all know, the easiest way to be at the top of your field is to choose a very small field."
- Nicky Case: "'Wouldn't it be funny if...?' Ask yourself this question, and fill in the blank. I call this joke-driven development, or JDD."
- Janelle Shane: "I train neural networks, a type of machine learning algorithm, to write unintentional humor as they struggle to imitate human datasets. Well, I intend the humor. The neural networks are just doing their best to understand what's going on."
Music style transfer
- Audio Analogies
- Ode to Joy in different styles
- Neural Translation of Musical Style
- Performance RNN: Generating Music with Expressive Timing and Dynamics
- Song2Guitar: A Difficulty-Aware Arrangment System for Generating Guitar Solo Covers from Polyphonic Audio of Popular Music
- MusicVAE: Creating a palette for musical scores with machine learning
- A Universal Music Translation Network
- Music Style Transfer: A Position Paper
Python grammar libraries
Python music libraries
- Ethan Hein, Why is son clave so awesome?
- Godfried Toussaint, The Rhythm that Conquered the World: What Makes a "Good" Rhythm Good?
Visual art with context-free grammars
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