Poster Session I
PA1 |
Challenge Task 1 report
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PA2 |
General-purpose tagging of Freesound audio with AudioSet labels: Task description, dataset, and baseline
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PA3 |
Challenge Task 3 report
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PA4 |
Challenge Task 4 report
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PA5 |
Challenge Task 5 report
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PB1 |
Polyphonic audio tagging with sequentially labelled data using CRNN with learnable gated linear units
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PB2 |
General-purpose audio tagging from noisy labels using convolutional neural networks
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PB3 |
Sample mixed-based data augmentation for domestic audio tagging
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PB4 |
Applying triplet loss to Siamese-style networks for audio similarity ranking
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PB5 |
DCASE 2018 task 2: Iterative training, label smoothing, and background noise normalization for audio event tagging
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PB6 |
The Making Sense of Sounds Challenge
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PC1 |
Acoustic scene classification using a convolutional neural network ensemble and nearest neighbor filters
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PC2 |
Exploring deep vision models for acoustic scene classification
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PC3 |
Using an evolutionary approach to explore convolutional neural networks for acoustic scene classification
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PC4 |
Convolutional neural networks and x-vector embedding for DCASE2018 Acoustic Scene Classification challenge
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PC5 |
Audio feature space analysis for acoustic scene classification
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PC6 |
DNN based multi-level feature ensemble for acoustic scene classification
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Poster areas