What is it about?
This paper proposes an AI model that generates Afro-Cuban percussion, likely the first of its kind. To train such a model, you would usually need an Afro-Cuban percussion dataset, which is difficult to compile. To circumvent this issue, we came up with an algorithm that infuses Afro-Cuban rhythms into an existing percussion dataset.
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Why is it important?
Afro-Cuban music has significantly influenced contemporary western music. Our model represents it more faithfully than existing models. Moreover, the methods employed in this paper pave the way for other influential styles of music underrepresented in datasets to be incorporated in the landscape of generative, co-creative musical systems.
Perspectives
I'd be so happy if people starting listening or dancing to Afro-Cuban music after reading our paper :)
Daniel Flores Garcia
Read the Original
This page is a summary of: ClaveNet: Generating Afro-Cuban Drum Patterns through Data Augmentation, September 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3678299.3678335.
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