Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
It addresses the problem of improving singing processing for singers and listeners, but is incremental as it summarizes existing work.
This paper reviews recent deep learning advances in singing processing tasks, highlighting achievements in accuracy and sound quality, and discusses challenges like data availability and computing resources.
This paper summarizes some recent advances on a set of tasks related to the processing of singing using state-of-the-art deep learning techniques. We discuss their achievements in terms of accuracy and sound quality, and the current challenges, such as availability of data and computing resources. We also discuss the impact that these advances do and will have on listeners and singers when they are integrated in commercial applications.