Computational study finds strong benchmark performance from attention-enhanced CNN–Transformer music-genre classifier
A computational study of GTZAN and ASAP audio datasets reports that the CCTAF-MSR CNN–Transformer model reached 86.40% precision, 88.99% recall ...
