PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition

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Benchmark Model Rank Results
audio-tagging-on-audiosetCNN14#16mean average precision: 0.431
audio-classification-on-audiosetPANNs-CNN14 (Single)#37Test mAP: 0.431AUC: 0.973d-prime: 2.732

Rank counts only results with a code link.