Music Source Separation in the Waveform Domain

Understand

Source separation for music is the task of isolating contributions, or stems, from different instruments recorded individually and arranged together to form a song.

• Such components include voice, bass, drums and any other accompaniments.Contrarily to many audio synthesis tasks where the best performances are achieved by models that directly generate the waveform, the state-of-the-art in source separation for music is to compute masks on the magnitude spectrum.
• In this paper, we compare two waveform domain architectures.
• We first adapt Conv-Tasnet, initially developed for speech source separation,to the task of music source separation.