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Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs
[article]
2019
arXiv
pre-print
We present CP-JKU submission to MediaEval 2019; a Receptive Field-(RF)-regularized and Frequency-Aware CNN approach for tagging music with emotion/mood labels. We perform an investigation regarding the impact of the RF of the CNNs on their performance on this dataset. We observe that ResNets with smaller receptive fields -- originally adapted for acoustic scene classification -- also perform well in the emotion tagging task. We improve the performance of such architectures using techniques such
arXiv:1911.05833v1
fatcat:lp23k3stmna5rkcgcdablktvse