# Algorithmic Songwriting with ALYSIA

arXiv: https://arxiv.org/abs/1612.01058 · HTML: https://mlsanity.com/paper/1612.01058/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Dec 2016.

## Built on by (most cited first, 5 of 5)

- [TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method](https://mlsanity.com/paper/2109.09617/) (2021)
- [LyricJam: A system for generating lyrics for live instrumental music](https://mlsanity.com/paper/2106.01960/) (2021)
- [Controllable Lyrics-to-Melody Generation](https://mlsanity.com/paper/2306.02613/) (2023)
- [Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics](https://mlsanity.com/paper/2301.10015/) (2023)
- [Vocal Melody Construction for Persian Lyrics Using LSTM Recurrent Neural Networks](https://mlsanity.com/paper/2410.18203/) (2024)

## 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.