MIDI-Draw: Sketching to Control Melody Generation
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Abstract (arXiv)
We describe a proof-of-principle implementation of a system for drawing melodies that abstracts away from a note-level input representation via melodic contours. The aim is to allow users to express their musical intentions without requiring prior knowledge of how notes fit together melodiously. Current approaches to controllable melody generation often require users to choose parameters that are static across a whole sequence, via buttons or sliders. In contrast, our method allows users to quickly specify how parameters should change over time by drawing a contour.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 23 references that are in the map. First posted on arXiv 19 May 2023.
Builds on
8 of 23 references.
References · 8
- 2020Jukebox: A Generative Model for Musiccited by 542
- 2021Wav2CLIP: Learning Robust Audio Representations From CLIPcited by 213
- 2018A Hierarchical Latent Vector Model for Learning Long-Term Structure in Musiccited by 131
- 2020Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythmcited by 28
- 2021SurpriseNet: Melody Harmonization Conditioning on User-controlled Surprise Contourscited by 9
- 2019Exploring Conditioning for Generative Music Systems with Human-Interpretable Controlscited by 8
- 2020A variational autoencoder for music generation controlled by tonal tensioncited by 8
- 2020dMelodies: A Music Dataset for Disentanglement Learningcited by 6
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