# Generating Music from Literature

arXiv: https://arxiv.org/abs/1403.2124 · HTML: https://mlsanity.com/paper/1403.2124/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Mar 2014.

## Built on by (most cited first, 6 of 6)

- [Learning to Generate Music With Sentiment](https://mlsanity.com/paper/2103.06125/) (2021)
- [Exploring the Efficacy of Pre-trained Checkpoints in Text-to-Music Generation Task](https://mlsanity.com/paper/2211.11216/) (2022)
- [Controlling Perceived Emotion in Symbolic Music Generation with Monte Carlo Tree Search](https://mlsanity.com/paper/2208.05162/) (2022)
- [Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations](https://mlsanity.com/paper/2212.01033/) (2022)
- [Long-Form Text-to-Music Generation with Adaptive Prompts: A Case Study in Tabletop Role-Playing Games Soundtracks](https://mlsanity.com/paper/2411.03948/) (2024)
- [Unrolled Creative Adversarial Network For Generating Novel Musical Pieces](https://mlsanity.com/paper/2501.00452/) (2024)

## Abstract (arXiv)

We present a system, TransProse, that automatically generates musical pieces from text. TransProse uses known relations between elements of music such as tempo and scale, and the emotions they evoke. Further, it uses a novel mechanism to determine sequences of notes that capture the emotional activity in the text. The work has applications in information visualization, in creating audio-visual e-books, and in developing music apps.