Abstract

The decomposition of a music audio signal into its vocal and backing track components is analogous to image-to-image translation, where a mixed spectrogram is transformed into its constituent sources. We propose a novel application of the U-Net architecture — initially developed for medical imaging — for the task of source separation, given its proven capacity for recreating the fine, low-level detail required for high-quality audio reproduction. Through both quantitative evaluation and subjective assessment, experiments demonstrate that the proposed algorithm achieves state-of-the-art performance.

Publication Type:	Conference or Workshop Item (Paper)
Departments:	School of Arts & Social Sciences > Music
URI:	https://openaccess.city.ac.uk/id/eprint/19289

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