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Found 6 papers, 1 papers with code
Modeling Analog Dynamic Range Compressors using Deep Learning and State-space Models
We describe a novel approach for developing realistic digital models of dynamic range compressors for digital audio production by analyzing their analog prototypes.
Motif-Centric Representation Learning for Symbolic Music
Music motif, as a conceptual building block of composition, is crucial for music structure analysis and automatic composition.
What is missing in deep music generation? A study of repetition and structure in popular music
Structure is one of the most essential aspects of music, and music structure is commonly indicated through repetition.
Controllable deep melody generation via hierarchical music structure representation
Recent advances in deep learning have expanded possibilities to generate music, but generating a customizable full piece of music with consistent long-term structure remains a challenge.
Personalized Popular Music Generation Using Imitation and Structure
Many practices have been presented in music generation recently.
Be Careful What You Backpropagate: A Case For Linear Output Activations & Gradient Boosting
To this end, we demonstrate faster convergence and better performance on diverse classification tasks: image classification using CIFAR-10 and ImageNet, and semantic segmentation using PASCAL VOC 2012.
