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This paper summarizes some recent advances on a set of tasks related to theprocessing of singing using state-of-the-art deep learning techniques. Wediscuss their achievements in terms of accuracy and sound quality, and thecurrent challenges, such as availability of data and computing resources. Wealso discuss the impact that these advances do and will have on listeners andsingers when they are integrated in commercial applications.

Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners