ReStyle-MusicVAE: Enhancing User Control of Deep Generative Music Models with Expert Labeled Anchors

Damjan Prvulovic, Richard Vogl, Peter Knees · 2022

Deep generative models have emerged as one of the most actively researched topics in artificial intelligence. An area that draws increasing attention is the automatic generation of music, with various applications including systems that support and inspire the process of music composition. For these assistive systems, in order to be successful and accepted by users, it is imperative to give the user agency and express their personal style in the process of composition.

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