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pro vyhledávání: '"Huang, Jonathan J"'
We propose an efficient end-to-end convolutional neural network architecture, AclNet, for audio classification. When trained with our data augmentation and regularization, we achieved state-of-the-art performance on the ESC-50 corpus with 85:65% accu
Externí odkaz:
http://arxiv.org/abs/1811.06669
