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