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This paper presents the Computoser hybrid probability/rule based algorithmfor music composition (http://computoser.com) and provides a referenceimplementation. It addresses the issues of unpleasantness and lack of variationexhibited by many existing approaches by combining the two methods (basing theparameters of the rules on data obtained from preliminary analysis).  A sample of 500+ musical pieces was analyzed to derive probabilities formusical characteristics and events (e.g. scale, tempo, intervals). Thealgorithm was constructed to produce musical pieces using the derivedprobabilities combined with a large set of composition rules, which wereobtained and structured after studying established composition practices.Generated pieces were published on the Computoser website where evaluation wasperformed by listeners. The feedback was positive (58.4% approval), assertingthe merits of the undertaken approach.  The paper compares this hybrid approach to other approaches to algorithmiccomposition and presents a survey of the pleasantness of the resulting music.

Computoser - rule-based, probability-driven algorithmic music composition