Algorithmic Songwriting with ALYSIA
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Abstract (arXiv)
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.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Dec 2016.
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Citing papers per year: 2021: 2; 2022: 0; 2023: 2; 2024: 1.
5 papers.
- 2021TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Methodcited by 20
- 2021LyricJam: A system for generating lyrics for live instrumental musiccited by 3
- 2023Controllable Lyrics-to-Melody Generationcited by 2
- 2023Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyricscited by 0
- 2024Vocal Melody Construction for Persian Lyrics Using LSTM Recurrent Neural Networkscited by 0
- 2024Vocal Melody Construction for Persian Lyrics Using LSTM Recurrent Neural Networks23 Oct 2024
- 2023Controllable Lyrics-to-Melody Generation5 Jun 2023
- 2023Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics23 Jan 2023
- 2021TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method20 Sep 2021
- 2021LyricJam: A system for generating lyrics for live instrumental music3 Jun 2021