• Corpus ID: 53974579

General-purpose audio tagging from noisy labels using convolutional neural networks

@inproceedings{Iqbal2018GeneralpurposeAT,
  title={General-purpose audio tagging from noisy labels using convolutional neural networks},
  author={Turab Iqbal and Qiuqiang Kong and Mark D. Plumbley and Wenwu Wang},
  booktitle={DCASE},
  year={2018}
}
General-purpose audio tagging refers to classifying sounds that are of a diverse nature, and is relevant in many applications where domain-specific information cannot be exploited. [] Key Method The basis of our system is an ensemble of convolutional neural networks trained on log-scaled mel spectrograms. We use preprocessing and data augmentation methods to improve the performance further. To reduce the effects of label noise, two techniques are proposed: loss function weighting and pseudo-labeling…
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11 Citations
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