Computer-based muscial composition using a probalistic algorithmic method

Abstract

The idea of using computers for the composition of music based on mathematical algorithms is not new, and the techniques which have been employed are wide-ranging. However, compositional processes which require an understanding of complex mathematical concepts or of computing techniques tend to be inaccessible to those lacking the necessary skills. In others, the relationship between the supplied input data and the resulting musical output is not evident, and they therefore lack the flexibility to meet specific compositional goals. Systems requiring the specification of large sets of musical rules, or which process pre-supplied music, are more regurgitative than creative.

This thesis describes and investigates a probabilistic, Markov chain-based algorithm whose aims are to be conceptually lucid, to require a small number of input parameters , to be capable of a wide range of musical output and to have the flexibility to meet diverse compositional objectives. A computer program has been developed which provides a composing environment through which the algorithm is analysed in depth, its strengths and weaknesses are examined, and its compositional capabilities are explored.

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