MusicVAE: Creating a Palette for Musical Scores with Machine Learning.

magenta.tensorflow.org

Another piece of fascinating work by the Google Magenta team; MusicVAE is a machine learning model that lets artists and composers create palettes for blending and exploring musical scores. MusicVAE is based on latent space models a class of models to represent the variation in a high-dimensional dataset using a lower-dimensional code, making it easier to explore and manipulate intuitive characteristics of the data.

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