• Corpus ID: 89616388

The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging

@inproceedings{Xu2018TheAS,
  title={The Aalto system based on fine-tuned AudioSet features for DCASE2018 task2 - general purpose audio tagging},
  author={Zhicun Xu and Peter Smit and Mikko Kurimo},
  booktitle={DCASE},
  year={2018}
}
In this paper, we presented a neural network system for DCASE 2018 task 2, general purpose audio tagging. We fine-tuned the Google AudioSet feature generation model with different settings for the given 41 classes on top of a fully connected layer with 100 units. Then we used the fine-tuned models to generate 128 dimensional features for each 0.960s audio. We tried different neural network structures including LSTM and multi-level attention models. In our experiments, the multi-level attention… 

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