This week I reached a major milestone in a Machine Learning/Music Analysis project that I've been working on for a long time!!

I'm really proud to launch 'The Harmonic Algorithm' as an open source project! It represents the evolution of something that's grown with me through two thesis' (initially in music analysis and later in creative computation) and has been a vessel for my passion in both Music and Computation/Machine Learning for a number of years.

For more info, detailed usage examples (with video clips) and installation instructions for anyone inclined to try it out, have a look at the GitHub repo for the project:

https://github.com/OscarSouth/...

"The Harmonic Algorithm, written in Haskell and R, generates musical domain specific data inside user defined constraints then filters it down and deterministically ranks it using a tailored Markov Chain model trained on ingested musical data. This presents a unique tool in the hands of the composer or performer which can be used as a writing aid, analysis device, for instrumental study or even in live performance."