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Found 3 papers, 1 papers with code
Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration
Beurling LASSO generalizes the LASSO problem to finite Radon measures regularized via their total variation.
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients
We propose a method for the blind separation of sounds of musical instruments in audio signals.
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings
In general, due to its pitch-invariance, our method is especially suitable for dealing with spectra from acoustic instruments, requiring only a minimal number of hyperparameters to be preset.
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