#Learn max msp how to#

Going on to complete a Research Masters in computer music, Sam is now studying a PhD at Plymouth University in music-focused AI. gibberwocky is designed and maintained by Charlie Roberts & Graham Wakefield. With a classical music background, it was his introduction to Max/MSP during undergraduate studies at Falmouth University that sparked SamвЂ™s passion for music programming and algorithmic composition. Weve published a paper on gibberwocky.live at the 2016 International Conference on Live Coding, and a paper on gibberwocky.max and gibberwocky.midi at the 2017 New Interfaces for Musical Expression Conference. Samuel Pearce-Davies is a composer, performer, music programmer and Max hacker living in Cornwall, UK. No prior knowledge of advanced mathematical or machine learning concepts are necessary, the focus will be on musical application.Knowledge of MIDI format and routing to DAWs (Ableton, Logic etc) would be a plus, although Max instruments will be provided.You should have a basic understanding of the Max workflow and different data types.

#Learn max msp how to#

By the end of the session you will have the knowledge of how to incorporate Markov Chains into your future compositions at various levels. This will involve preparing and playing MIDI files into the system (as a form of Machine Learning) and capturing the subsequent output as new MIDI files. In this workshop we will demystify the Markov Chain and make use of the popular ml.star library in Max/MSP to implement Markov Chains for musical composition. Composers have also found musical uses for Markov Chains, although the implied mathematical knowledge needed to implement them often appears daunting.

Markov chains are mathematical models that have existed in various forms since the 19th century, which have been used to aid statistical modelling in many real-world contexts, from economics to cruise control in cars. In this workshop we will demystify the Markov Chain and make use of the popular ml.star library in Max/MSP to implement Markov Chains for musical composition. Pd and Max are very similar programs, so if you know one and want to learn the other, you can transfer a lot of knowledge and principles to the new software.