INNOVATION
Computer-Assisted Composition.
Brian Martínez developed his PhD dissertation on new methods for artificial creativity. One of the main researching fields of the composer is the interaction between the computer and the composer’s task, generating new music material of processing already existing one.
Stochastic music.
Stochastic music has been widely developed over last decades. Python and music21 make possible to implement scripts for composing in terms of density and events matrix, getting the final score generated in MusicXML format.
Live Electronics.
Projects involving acoustic instruments and Live Electronics are one of the main focus for Brian Martínez’s artistic purposes and research. EA offers an infinite range of artistic possibilities, besides a massive number of educational opportunities.
Spectral music.
FFT analysis, spectral music, new tuning systems and compatibility between singles notes and intonation are fields of research where innovation can appeard. Brian Martínez is currently developing algorithms for achieveing smooth transitions between different tuning systems.
Music based on cellular automata.
Supercollider is the perfect programming language for facing electroacoustic composition based on cellullar automata.
Resynthesing the synthesis.
The research on new synthesis methods that could be implemented on Max/MSP is one of the last interest of Brian Martínez.
Live coding.
ixi lang, Tidal or Sonic Pi are live coding environments frecuently used by Brian Martínez and his students on Live Coding Sessions, either for artistic or educational purposes.
Videomapping over a church organ made by students of C.S.M. “Massotti Littel” using https://hydra.ojack.xyz
Arduino.
Arduino, Raspberry Pi, and other kinds of micro-controllers are perfect for innovation and introducing students into C programming language.