FXplorer organizes audio effects in a perceptually informed 2D space with ML embeddings for similarity and semantic search, combining spatial browsing with DAW-style controls for interactive editing and interpolation.
Inspecting and Interacting with Meaningful Music Representations using VAE
2 Pith papers cite this work. Polarity classification is still indexing.
abstract
Variational Autoencoders(VAEs) have already achieved great results on image generation and recently made promising progress on music generation. However, the generation process is still quite difficult to control in the sense that the learned latent representations lack meaningful music semantics. It would be much more useful if people can modify certain music features, such as rhythm and pitch contour, via latent representations to test different composition ideas. In this paper, we propose a new method to inspect the pitch and rhythm interpretations of the latent representations and we name it disentanglement by augmentation. Based on the interpretable representations, an intuitive graphical user interface is designed for users to better direct the music creation process by manipulating the pitch contours and rhythmic complexity.
verdicts
UNVERDICTED 2representative citing papers
MIDI-Sandwich is a hierarchical VAE-GAN architecture that generates structured 136-beat melodies by modeling local bars and global relationships on the Nottingham dataset.
citing papers explorer
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FXplorer: A Map-Based Interface for Exploratory Audio Effect Design
FXplorer organizes audio effects in a perceptually informed 2D space with ML embeddings for similarity and semantic search, combining spatial browsing with DAW-style controls for interactive editing and interpolation.
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MIDI-Sandwich: Multi-model Multi-task Hierarchical Conditional VAE-GAN networks for Symbolic Single-track Music Generation
MIDI-Sandwich is a hierarchical VAE-GAN architecture that generates structured 136-beat melodies by modeling local bars and global relationships on the Nottingham dataset.