3 papers
eess.SP2022
Formulating Beurling LASSO for Source Separation via Proximal Gradient Iteration
Sören Schulze, Emily J. King
Beurling LASSO generalizes the LASSO problem to finite Radon measures regularized via their total variation. Despite its theoretical appeal, this space is hard to parametrize, whic…
eess.AS2021
Blind Source Separation in Polyphonic Music Recordings Using Deep Neural Networks Trained via Policy Gradients
Sören Schulze, Johannes Leuschner, Emily J. King
We propose a method for the blind separation of sounds of musical instruments in audio signals. We describe the individual tones via a parametric model, training a dictionary to ca…
eess.AS2018
Sparse Pursuit and Dictionary Learning for Blind Source Separation in Polyphonic Music Recordings
Sören Schulze, Emily J. King
We propose an algorithm for the blind separation of single-channel audio signals. It is based on a parametric model that describes the spectral properties of the sounds of musical…