MidiMe: Personalizing a MusicVAE model with user data

By Monica Dinculescu, Jesse Engel, Adam Roberts. 2019

33 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Cheng-Zhi Anna Huang
2. Monica Dinculescu
3. Michael Terry
4. Hendrik Vincent Koops
5. Carrie J. Cai
6. Ed Newton-Rex
7. Andy Coenen
8. Ryan Louie

Citations in the corpus

• Human-AI Co-Creation in Songwriting (2020, background): “They first trained multiple miniVAEs [19], one for each section of the song (e.g. intro, verse, chorus or genre such as rock and pop).”
• Novice-AI Music Co-Creation via AI-Steering Tools for Deep Generative Models (2020, background): “For example, there are emerging approaches aimed at learning a continuous latent space so that users can interpolate between music [38], or explore a space of musical alternatives [10].”