Automatic music mixing with deep learning and out-of-domain data. (arXiv:2208.11428v1 [eess.AS])

Music mixing traditionally involves recording instruments in the form of
clean, individual tracks and blending them into a final mixture using audio
effects and expert knowledge (e.g., a mixing engineer). The automation of music
production tasks has become an emerging field in recent years, where rule-based
methods and machine learning approaches have been explored. Nevertheless, the
lack of dry or clean instrument recordings limits the performance of such
models, which is still far from professional human-made mixes. We explore
whether …

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