Fusion of VGG-like 2D CNN, Light-CNN, and x-vector 1D CNN with self-attention pooling on 256-dim log Mel-spectrograms, trained on 4-fold splits and combined with multiple fusion strategies for DCASE2019 Task 1.
Diff erent systems were designed for this challenge and the final system s were fusions of the output scores from the individual system
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Acoustic Scene Classification Using Fusion of Attentive Convolutional Neural Networks for DCASE2019 Challenge
Fusion of VGG-like 2D CNN, Light-CNN, and x-vector 1D CNN with self-attention pooling on 256-dim log Mel-spectrograms, trained on 4-fold splits and combined with multiple fusion strategies for DCASE2019 Task 1.