PopMNet: Generating structured pop music melodies using neural networks

Jian Wu
Jian Wu
Xiaoguang Liu
Xiaoguang Liu

Artificial Intelligence, pp. 1033032020.

Cited by: 2|Bibtex|Views64|DOI:https://doi.org/10.1016/j.artint.2020.103303
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Other Links: dblp.uni-trier.de|academic.microsoft.com|www.sciencedirect.com

Abstract:

Recently, many deep learning models have been proposed to generate symbolic melodies. However, generating pop music melodies with well organized structures remains to be challenging. In this paper, we present a melody structure-based model called PopMNet to generate structured pop music melodies. The melody structure is defined by pairwis...More

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