Convolutional recurrent neural networks for music classification

@article{Choi2016ConvolutionalRN,
  title={Convolutional recurrent neural networks for music classification},
  author={Keunwoo Choi and George Fazekas and Mark B. Sandler and Kyunghyun Cho},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2016},
  pages={2392-2396}
}
We introduce a convolutional recurrent neural network (CRNN) for music tagging. CRNNs take advantage of convolutional neural networks (CNNs) for local feature extraction and recurrent neural networks for temporal summarisation of the extracted features. We compare CRNN with three CNN structures that have been used for music tagging while controlling the number of parameters with respect to their performance and training time per sample. Overall, we found that CRNNs show a strong performance… CONTINUE READING

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