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AI Methods in Algorithmic Composition: A Comprehensive Survey

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arxiv 1402.0585 v1 pith:A57HSMRK submitted 2014-02-04 cs.AI

Jose David Fernandez , Francisco Vico This is my paper · ORCID
classification cs.AI
keywords compositionalgorithmicartificialcomprehensiveintelligencemethodssurveyaccount
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Algorithmic composition is the partial or total automation of the process of music composition by using computers. Since the 1950s, different computational techniques related to Artificial Intelligence have been used for algorithmic composition, including grammatical representations, probabilistic methods, neural networks, symbolic rule-based systems, constraint programming and evolutionary algorithms. This survey aims to be a comprehensive account of research on algorithmic composition, presenting a thorough view of the field for researchers in Artificial Intelligence.

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    A conditional LSTM-GAN generates 20-note melodies from English lyrics on a new 12,197-song aligned dataset, outperforming random and MLE baselines on several metrics.

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