Multi-scale semantic feature fusion and data augmentation for acoustic scene classification
L Yang, L Tao, X Chen, X Gu - Applied Acoustics, 2020 - Elsevier
This paper investigates a multi-scale semantic feature fusion and data augmentation
approach for deep convolutional neural network (CNN) based acoustic scene classification.
To ensemble the multi-scale semantic information of CNN and improve the performance of
acoustic scene classification, a multi-scale feature fusion framework, which consists of a
simplified Xception backbone and a semantic feature fusion strategy, is presented. A novel
label smoothing mixup data augmentation method, which is a generalization of mixup and …
approach for deep convolutional neural network (CNN) based acoustic scene classification.
To ensemble the multi-scale semantic information of CNN and improve the performance of
acoustic scene classification, a multi-scale feature fusion framework, which consists of a
simplified Xception backbone and a semantic feature fusion strategy, is presented. A novel
label smoothing mixup data augmentation method, which is a generalization of mixup and …
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