End-to-End Audio Strikes Back: Boosting Augmentations Towards An Efficient Audio Classification Network

Benchmark Model Rank Results
audio-classification-on-esc-50EAT-M#11Top-1 Accuracy: 96.3PRE-TRAINING DATASET: AudioSet…
audio-classification-on-esc-50EAT-S#16Top-1 Accuracy: 95.25PRE-TRAINING DATASET: AudioSet…
audio-classification-on-esc-50EAT-S (scratch)#18Top-1 Accuracy: 92.15Accuracy (5-fold): 92.15
keyword-spotting-on-google-speech-commandsEAT-S#25Google Speech Commands V2 35: 98.15
audio-classification-on-audiosetEAT-M#38Test mAP: 0.426
audio-classification-on-audiosetEAT-S#39Test mAP: 0.405