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Musical Motif Discovery in Non-musical Media

Musical Motif Discovery in Non-musical Media

This video was recorded at 5th International Conference on Computational Creativity (ICCC), Ljubljana 2014. Many music composition algorithms attempt to compose music in a particular style. The resulting music is often impressive and indistinguishable from the style of the training data, but it tends to lack significant innovation. In an effort to increase innovation in the selection of pitches and rhythms, we present a system that discovers musical motifs by coupling machine learning techniques with an inspirational component. Unlike many generative models, the inspirational component allows the composition process to originate outside of what is learned from the training data. Candidate motifs are extracted from non-musical media such as images and audio. Machine learning algorithms... Show More
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