Improving Synthesizer Programming From Variational Autoencoders Latent Space.
Gwendal Le VaillantThierry DutoitSebastien DekeyserPublished in: DAFx (2021)
Keyphrases
- latent space
- latent variables
- gaussian process
- denoising
- lower dimensional
- low dimensional
- image segmentation
- generative model
- matrix factorization
- manifold learning
- latent variable models
- dimensionality reduction
- feature space
- gaussian processes
- probabilistic latent semantic analysis
- high dimensional
- parameter space
- semi supervised
- probabilistic model
- distance metric
- gaussian process latent variable models
- original data
- high dimensional data
- graphical models
- training data