MusGO is a community-refined framework with 13 openness categories, applied to 16 music-generative models to produce a public openness leaderboard.
Deep Learning for Singing Processing: Achievements, Challenges and Impact on Singers and Listeners
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abstract
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.
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MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI
MusGO is a community-refined framework with 13 openness categories, applied to 16 music-generative models to produce a public openness leaderboard.