Music Source Separation with Generative Flow

04/19/2022
by   Ge Zhu, et al.
0

Full supervision models for source separation are trained on mixture-source parallel data and have achieved superior performance in recent years. However, large-scale and naturally mixed parallel training data are difficult to obtain for music, and such models are difficult to adapt to mixtures with new sources. Source-only supervision models, in contrast, only require clean sources for training; They learn source models and then apply these models to separate the mixture.

READ FULL TEXT

Please sign up or login with your details

Forgot password? Click here to reset