Applying Principal Component Analysis to a data-set of short electronic music loops
Ishkur's Guide to Electronic Music
Malleable Music Ensembles
A framework using generalized algebraic theories and categorical lenses to enable interoperable, local-first networked music ensembles.
Getting Started Making Music | Notion
There are four elements of formula you need to make music.
[Music Assets] FREE Music Loop Bundle
Over 150 seamless music loops for all genres and styles of games
Worth, Stepney : Growing Music
home > publications > non-standard computation > Growing Music > accompanying material
Ask HN: How Can I Learn Music Theory? | Hacker News
Books aside, in my view the #1 thing you can do to help your music theory understanding is to train your ear: if you can't reliably identify all the intervals within an octave and identify major, minor, diminished and augmented triads, as well as the basic 4-note chords (major 7, minor 7, dominant 7, minor-7-flat-5) by ear, knowing a bunch of rules about tone-tone-semitone-tone-tone-tone-semitone won't be all that useful. Back in music school days I practised daily with EarMaster and within a couple of months had gotten solid enough at recognising intervals and chords by ear that it made all the other music learning I did subsequently much much easier. I am sure there are way better ear training tools now!
Music Assistant
Music Assistant is a music library manager for local and streaming sources
Csound: A sound and music computing system | Hacker News
Max & Pd are fantastic for incorporating sensors & other physical interfaces, real-time interactivity, routing signals, creating visualizations, & all that. Supercollider is fantastic for generative music & using control flow compositionally.
aubio, a library for audio labelling
aubio, a collection of algorithms and tools to extract musical meaning from audio signals, such as tempo, pitch, and onset
How to Find New Music | Hacker News
-Find out who they've toured with - this is one of the strongest signals possible
Music Encoding Initiative
The Music Encoding Initiative (MEI) is a community-driven, open-source effort to define a system for encoding musical documents in a machine-readable structure. MEI brings together specialists from various music research communities, including technologists, librarians, historians, and theorists in a common effort to define best practices for representing a broad range of musical documents and structures. The results of these discussions are formalized in the MEI schema, a core set of rules for recording physical and intellectual characteristics of music notation documents expressed as an eXtensible Markup Language (XML) schema. It is complemented by the MEI Guidelines, which provide detailed explanations of the components of the MEI model and best practices suggestions. Read more …
