DCASE 2019 challenge submission reports >85% accuracy on acoustic scene classification via GAN augmentation fused with 1D and 2D CNN classifiers.
FBank-FCNN Classifier The FBank-FCNN network architecture is shown in Table 1, simi- lar to the one proposed in [7]
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Integrating the Data Augmentation Scheme with Various Classifiers for Acoustic Scene Modeling
DCASE 2019 challenge submission reports >85% accuracy on acoustic scene classification via GAN augmentation fused with 1D and 2D CNN classifiers.