About this document
MusicVAE: Interpolating Music Sequences by Carlos Violinist is a document available to read on EtoBox.
The document discusses MusicVAE, a machine learning model developed by Google that can generate musical score palettes by interpolating between latent representations of musical sequences. It summarizes key aspects of the MusicVAE model, including its use of a variational autoencoder with a hierarchical decoder and bidirectional LSTM encoder to address issues with modeling long-term structure in music. The encoder represents musical sequences as multivariate Gaussian distributions defined by learned mean an
- Author
- Carlos Violinist
- Language
- EN