A Unified Neural Architecture for Instrumental Audio Tasks

1 Mar 2019 Steven Spratley Daniel Beck Trevor Cohn

Within Music Information Retrieval (MIR), prominent tasks -- including pitch-tracking, source-separation, super-resolution, and synthesis -- typically call for specialised methods, despite their similarities. Conditional Generative Adversarial Networks (cGANs) have been shown to be highly versatile in learning general image-to-image translations, but have not yet been adapted across MIR... (read more)

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Methods used in the Paper


METHOD TYPE
Mixture of Logistic Distributions
Output Functions
Dilated Causal Convolution
Temporal Convolutions
WaveNet
Generative Audio Models