• Corpus ID: 201690821

Detection and Classification of Acoustic Scenes and Events 2019 Challenge MULTI-LABEL AUDIO TAGGING WITH NOISY LABELS AND VARIABLE LENGTH Technical Report

@inproceedings{Zhu2019DetectionAC,
  title={Detection and Classification of Acoustic Scenes and Events 2019 Challenge MULTI-LABEL AUDIO TAGGING WITH NOISY LABELS AND VARIABLE LENGTH Technical Report},
  author={Boqing Zhu and Kele Xu and Dezhi Wang and Mathurin Ach{\'e}},
  year={2019}
}
This paper describes our approach for DCASE 2019 Task2: Audio tagging with noisy labels and minimal supervision. This challenge uses a smaller set of manually labeled data and a larger set of noiselabeled data to enable the system to perform multi-label audio tagging tasks with minimal supervision conditions. We aim to tagging the audio clips with convolutional neural network under a limited computation and storage resources. To tackle the problem of noisy label data, we propose a data… 

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