melody
lody
Play melodies on any scale and any mode.
Play anything!
DIY instruments using machine learning. This is a research project developed in the department of Digital Media and Communication of the Ionian University by Dimitri Smailis aka Roblokie Aflo.
Machine learning techniques in the music class
To date, Artificial Intelligence and ML-based music generators have not thoroughly convinced musicophiles in terms of appreciation. This premise is amplified by the fact that humanity has a long way ahead in morally accept- ing the creative endeavors of machines. Therefore, articulating intent when using ML&AI in music practice seems to be an acceptable practice and this explains the fact that ML&AI music generators are being promoted as creation assistants. Likewise, we suggest that ML algorithms have the potential to be used effectively as teaching assistants.
Tools
In my current research I am developing a set of tools to support music educators and creative practitioners
hamony
mony
Play any diatonic chord
anything
diddly
create an instrument with any number of triggers.
specific
nailed
Create an instrument with the exact number of notes of a piece of music
