Music Separation Enhancement with Generative Modeling. (arXiv:2208.12387v1 [cs.SD])

Despite phenomenal progress in recent years, state-of-the-art music
separation systems produce source estimates with significant perceptual
shortcomings, such as adding extraneous noise or removing harmonics. We propose
a post-processing model (the Make it Sound Good (MSG) post-processor) to
enhance the output of music source separation systems. We apply our
post-processing model to state-of-the-art waveform-based and spectrogram-based
music source separators, including a separator unseen by MSG during training.
Our analysis of the errors produced by source separators shows that waveform
models …

arxiv modeling music