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.
Algorithmic Songwriting with ALYSIA
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abstract
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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cs.AI 1years
2019 1verdicts
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Conditional LSTM-GAN for Melody Generation from Lyrics
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.