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AI Methods in Algorithmic Composition: A Comprehensive Survey

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abstract

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.

fields

cs.AI 1

years

2019 1

verdicts

CONDITIONAL 1

representative citing papers

Conditional LSTM-GAN for Melody Generation from Lyrics

cs.AI · 2019-08-15 · conditional · novelty 5.0

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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  • Conditional LSTM-GAN for Melody Generation from Lyrics cs.AI · 2019-08-15 · conditional · none · ref 11 · internal anchor

    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.