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Full-Text Articles in Arts and Humanities
Algorithmic Composition In Contrasting Music Styles, Tristan Mcauley, Philip Hingston
Algorithmic Composition In Contrasting Music Styles, Tristan Mcauley, Philip Hingston
Research outputs pre 2011
The aim of this research was to automate the composition of convincingly “real” music in specific musical genres. By “real” music we mean music which is not obviously “machine generated”, is recognizable as being of the selected genre, is perceived as aesthetically pleasing, and is usable in a commercial context. To achieve this goal, various computational techniques were used, including genetic algorithms and finite state automata. The process involves an original, top down approach and a bottom up approach based on previous studies. Student musicians have objectively assessed the resulting compositions.
Revisiting The Early Format Of The Big Band: So You Want To Be A Band Leader?, Amanda L. Jones
Revisiting The Early Format Of The Big Band: So You Want To Be A Band Leader?, Amanda L. Jones
Theses: Doctorates and Masters
The aims of this research are to set up a large contemporary ensemble that plays varied repertoire in different performance contexts and may generate at the same time, a vehicle for my composition and arranging. Involved within the research are strategies to increase the musical and performance skills of the musicians, to break down barriers between the audience and performers, to look at ways to include I promote/ increase/ audience participation, to work with the community, and find opportunities for paid employment for big band situations. Aspects of New Orleans brass bands, the Duke Ellington's and Count Basie's Orchestra's will …