Towards efficient real-time generation of detectable musical macrostructure

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Efficient generation of detectable large scale musical structure is needed for commercial audiovisual applications, and for creative music making. But computer mediation of music has focused elsewhere: on sound synthesis and sequencing, editing, mixing and notation. I will apply computational processes like the handling of chunks of genetic information in evolution, to generate large scale musical structure. I will control segmentation; framing of internal segments; spatialisation; and the overlaying of separable musical streams. Expert cognitive assessment of the resultant structures will be investigated, and theories of segmentation, streaming and their relationships with expression and affect developed and tested.