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Randomness in music: an overview of the current possibilities
Dos Santos Agostinho Filho, Gilberto ; MRKVIČKA, Luboš (advisor) ; RATAJ, Michal (referee)
Randomness has become an integral part of the contemporary composer's technical pallet. From trivial dice rolls to complex stochastic systems, there is an enormous amount of different methods that can be used in order to apply randomness in music: the results of simple coin tosses can be translated into any sort of binary data (e.g. note/silence), probability distributions may be use to control musical parameters or even musical form, Markov chains can be used to generate the path which a composition will take, etc. To emphasize the importance of these indeterminate techniques, this work will first take a historical look on randomness in the 20th century music, puncuated by relevant musical examples. These techniques are then discussed from a contemporary point of view, focusing on their relevance for the music today, dealing both with acoustic and electroacoustic music, generated with or without the aid of computers.
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Algorithmic Methods for Generating Acoustic Music
Dos Santos Agostinho Filho, Gilberto ; MRKVIČKA, Luboš (advisor) ; RATAJ, Michal (referee)
Systematic compositional techniques have been used throughout the history of Western Music, but it was the advent of the personal computer that made algorithmic composition a common reality in the contemporary music scene. The post-war period witnessed the development of several new types of compositional techniques, such as the use of chance, stochastic models and numeric series, all of which heavily influenced the development of computer music. The three main types of computer algorithms used for producing music, i.e. the rule-based, stochastic and artificial intelligent algorithms, are to be analysed. The focus of the present work will be on the algorithmic creation of acoustic musical works, particularly via the automatic generation of musical scores, and the aesthetic consequences of this kind of approach.
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