Melody Generation in Max – On demand
Level: Intermediate
The importance of the melody in traditional musical composition is difficult to understate. Often one of the first components the ear latches onto, being able to write a good melody is something of an artform. Producing basic algorithmically-generated melodies using Max/MSP is quite easy, but in order to produce something more ‘musical’ we must refine the generation process.
In this workshop you will learn some ways of generating more complex melodies in Max. This will involve implementing occasional phrase repeats to balance predictability and surprise, locking in some of the more important rhythmic elements and incorporating planned octave jumps alongside more restricted pitch-based travel.
By the end of the workshop you will have constructed a melody generation patch that can be set to play along with your compositions, with a greater understanding of some of the ways in which we can sculpt melody in Max.
Topics
-
- Max/MSP
- Algorithmic Composition
- Melody
Requirements
-
You should be comfortable with the general workflow and data formatting in Max.
-
Knowledge of MIDI format and routing to DAWs (Ableton, Logic etc) would be a plus, although Max instruments will be provided.
-
You should have some basic knowledge of music theory: chords, scales, modes etc.
About the workshop leader
Samuel Pearce-Davies is a composer, performer, music programmer and Max hacker living in Cornwall, UK.
With a classical music background, it was his introduction to Max/MSP during undergraduate studies at Falmouth University that sparked Sam’s passion for music programming and algorithmic composition.
Going on to complete a Research Masters in computer music, Sam is now studying a PhD at Plymouth University in music-focused AI.
Algorithmic Composition in Max: Bringing Order to Chaos
Learn to construct music-generating algorithms in Max, to compose semi-autonomously or supplement your compositional practice.
Level: Intermediate
Composing with randomness
For centuries, musicians have incorporated chance-based elements into their compositions, first through coin flips and dice rolls and more recently through computer software. Today, building music-oriented algorithmic systems is easier than ever with Max.
What you will learn
In this workshop you will learn a variety of algorithmic processes and useful tools to construct your own systems: including drunken walks, list manipulation and step-sequencer pattern generation. Primarily focusing on MIDI-controlled instruments, you will gain an understanding of how chance can be factored into numerous aspects of composition, from melody and harmony to overall piece structure and instrumentation.
By the end of the workshop you will have built a system for algorithmically generating a short multi-instrumental composition which you will be able to go on to improve and expand upon to fit your own preferences.
Requirements
- You should be comfortable with the general workflow and data formatting in Max.
- Knowledge of MIDI format and routing to DAWs (Ableton, Logic etc) would be a plus, although Max instruments will be provided.
- You should have some basic knowledge of music theory: chords, scales, modes etc.
About the workshop leader
Samuel Pearce-Davies is a composer, performer, music programmer and Max hacker living in Cornwall, UK.
With a classical music background, it was his introduction to Max during undergraduate studies at Falmouth University that sparked Sam’s passion for music programming and algorithmic composition.
Going on to complete a Research Masters in computer music, Sam is now studying a PhD at Plymouth University in music-focused AI.
