Experimental Results for Music Genre Classification on GTZAN, FMA-Small, and FMA-Medium
CT-GateNet, a hybrid neural network architecture, achieved classification accuracies of 98.72%, 89.42%, and 69.07% on the GTZAN, FMA-SMALL, and FMA-Medium music genre datasets, respectively. The 5.5 KB Excel file contains experimental datasets from this research, authored by Yunyan Ma and last updated in April 2026. The data is shared under a CC-BY-4.0 license on figshare.