Abstract: Music is an expressive form of communication often used to convey emotion in scenarios where words are not enough. Part of this information lies in the composition where well-defined language exists. However, a significant amount of information is added during a performance as the musician interprets the composition. The performer injects expressiveness into the written score through variations of different properties such as dynamics and tempo. In this paper, we describe a model that can learn to perform sheet music. Our research concludes that the generated performances are indistinguishable from a human performance, thereby passing a test in the spirit of a musical Turing test.
Publication Year: 2017
Publication Date: 2017-08-11
Language: en
Type: preprint
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Cited By Count: 24
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