Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

15 Aug 2016 Justin Salamon Juan Pablo Bello

The ability of deep convolutional neural networks (CNN) to learn discriminative spectro-temporal patterns makes them well suited to environmental sound classification. However, the relative scarcity of labeled data has impeded the exploitation of this family of high-capacity models... (read more)

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Datasets


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK BENCHMARK
Environmental Sound Classification UrbanSound8k SB-CNN aug Accuracy (10-fold) 79 # 1
Environmental Sound Classification UrbanSound8k SB-CNN noaug Accuracy (10-fold) 73 # 2

Methods used in the Paper


METHOD TYPE
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