AI generated visual accompaniment for music: Machine learning techniques for composing visual accompaniment for music shows
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2017-08-29
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en
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Abstract
In this study a method for artificially composing visual accompaniment for
music pieces is proposed. We analyze whether the proposed method composes visual
accompaniments that are comparable in quality to visual accompaniments made by a
human artist. It was found that visual accompaniments composed by the proposed
methods are judged significantly lower in quality than their human-made
counterparts. Additionally, it was found that the performance of the proposed method
did not differ significantly from a pseudo-random approach to composing visual
accompaniments. Despite these results, this method might provide a framework for
future research on this topic.
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Faculteit der Sociale Wetenschappen