Constructing Composite Features for Interpretable Music-Tagging
Constructing Composite Features for Interpretable Music-Tagging explores Develops an interpretable AI for music tagging by automatically evolving composite audio features using Genetic Programming, outperforming state-of-the-art methods.. Commercial viability score: 5/10 in Music AI.
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