Music Mixing Style Transfer: A Contrastive Learning Approach to Disentangle Audio Effects. (arXiv:2211.02247v1 [eess.AS])

We propose an end-to-end music mixing style transfer system that converts the
mixing style of an input multitrack to that of a reference song. This is
achieved with an encoder pre-trained with a contrastive objective to extract
only audio effects related information from a reference music recording. All
our models are trained in a self-supervised manner from an already-processed
wet multitrack dataset with an effective data preprocessing method that
alleviates the data scarcity of obtaining unprocessed dry data. We analyze …

arxiv audio effects music style transfer transfer