A python package to parse and process the demixing secrets dataset (DSD) as part of the MUS task of the Signal Separation Evaluation Campaign (SISEC)



If you use this package, please reference the following paper

  Title = {The 2016 Signal Separation Evaluation Campaign},
  Address = {Cham},
  Author = {Liutkus, Antoine and St{\"o}ter, Fabian-Robert and Rafii, Zafar and Kitamura, Daichi and Rivet, Bertrand and Ito, Nobutaka and Ono, Nobutaka and Fontecave, Julie},
  Editor = {Tichavsk{\'y}, Petr and Babaie-Zadeh, Massoud and Michel, Olivier J.J. and Thirion-Moreau, Nad{\`e}ge},
  Pages = {323--332},
  Publisher = {Springer International Publishing},
  Year = {2017},
  booktitle = {Latent Variable Analysis and Signal Separation - 12th International Conference, {LVA/ICA} 2015, Liberec, Czech Republic, August 25-28, 2015, Proceedings},