Multi-Scale multi-band densenets for audio source separation

@article{Takahashi2017MultiScaleMD,
  title={Multi-Scale multi-band densenets for audio source separation},
  author={Naoya Takahashi and Yuki Mitsufuji},
  journal={2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
  year={2017},
  pages={21-25}
}
This paper deals with the problem of audio source separation. To handle the complex and ill-posed nature of the problems of audio source separation, the current state-of-the-art approaches employ deep neural networks to obtain instrumental spectra from a mixture. In this study, we propose a novel network architecture that extends the recently developed densely connected convolutional network (DenseNet), which has shown excellent results on image classification tasks. To deal with the specific… CONTINUE READING

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