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Algorithmic Songwriting with ALYSIA

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arxiv 1612.01058 v1 pith:R4TVCTSZ submitted 2016-12-04 cs.AI cs.LGcs.MMcs.SD

Margareta Ackerman , David Loker This is my paper · ORCID
classification cs.AIcs.LGcs.MMcs.SD
keywords alysiasongwritingautomateddiscussalgorithmicapplicationautonomousco-creative
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This paper introduces ALYSIA: Automated LYrical SongwrIting Application. ALYSIA is based on a machine learning model using Random Forests, and we discuss its success at pitch and rhythm prediction. Next, we show how ALYSIA was used to create original pop songs that were subsequently recorded and produced. Finally, we discuss our vision for the future of Automated Songwriting for both co-creative and autonomous systems.

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Cited by 1 Pith paper

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  1. Conditional LSTM-GAN for Melody Generation from Lyrics

    cs.AI 2019-08 conditional novelty 5.0 of 10

    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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