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Towards an Automated Composer Of Popular Country Music

By Jim Suruda and Norman Carver


Abstract — In the context of a software tool that can generate novel melodies in the popular country genre, this article describes the development of such a system. Algorithmic composition systems typically generate musical works and leave the evaluation of the output as a task for a human listener. This article describes an attempt to use machine learning techniques to evaluate the quality of the generated melodies. We describe the architecture of a prototype melody generation and evaluation system, which uses extracted features from MusicXML to judge the quality of machine generated melodies. Experimental results, including rankings of generated songs compared to currently charting country songs, are reported

Topics: machine learning, composition, music, artificial neural networks, genetic algorithms
Year: 2012
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
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