Music Source Separation
State-of-the-art leaderboards
Greatest papers with code
End-to-end music source separation: is it possible in the waveform domain?
• francesclluis/source-separation-wavenet
Most of the currently successful source separation techniques use the magnitude spectrogram as input, and are therefore by default omitting part of the signal: the phase. In order to avoid omitting potentially useful information, we study the viability of using end-to-end models for music source separation.
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
• f90/AdversarialAudioSeparation
• 
Based on this idea, we drive the separator towards outputs deemed as realistic by discriminator networks that are trained to tell apart real from separator samples. In a prototype experiment for singing voice separation, separation performance increases with our approach compared to purely supervised training.