Medley Vox is a dataset for testing algorithms for separating multiple singers within a single music track. Also, the authors of Medley Vox proposed a neural network architecture for separating singers. However, unfortunately, they did not publish the weights. Later, their training process was repeated by Cyru5, who trained several models and published the weights in the public domain. Now the trained neural network is available on MVSep.