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
