Rhythm generator using Variational Autoencoder (VAE). Based on M4L.RhythmVAE by Nao Tokui, modded and extended to support simple and compound meter rhythms, with minimal amount of training data. Similarly to RhythmVAE, the goal of R-VAE is the exploration of latent spaces of musical rhythms. Unlike most previous work in rhythm modeling, R-VAE can be trained with small datasets, enabling rapid customization and exploration by individual users. R-VAE employs a data representation that encodes simple and compound meter rhythms. Models and latent space visualizations for R-VAE are available on the project's GitHub page: https://github.com/vigliensoni/R-VAE-models.
Year: 2022
Website: https://github.com/vigliensoni/R-VAE
Input types: MIDI
Output types: MIDI
Output length: 2 bars
AI Technique: VAE
Dataset: "The Future Sample Pack"
License type: GPLv3
Real time:
Free:
Open source:
Checkpoints:
Fine-tune:
Train from scratch: