Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation

Naoya Takahashi, Nabarun Goswami, Yuki Mitsufuji. Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation. In 16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018, Tokyo, Japan, September 17-20, 2018. pages 106-110, IEEE, 2018. [doi]

@inproceedings{TakahashiGM18,
  title = {Mmdenselstm: An Efficient Combination of Convolutional and Recurrent Neural Networks for Audio Source Separation},
  author = {Naoya Takahashi and Nabarun Goswami and Yuki Mitsufuji},
  year = {2018},
  doi = {10.1109/IWAENC.2018.8521383},
  url = {https://doi.org/10.1109/IWAENC.2018.8521383},
  researchr = {https://researchr.org/publication/TakahashiGM18},
  cites = {0},
  citedby = {0},
  pages = {106-110},
  booktitle = {16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018, Tokyo, Japan, September 17-20, 2018},
  publisher = {IEEE},
  isbn = {978-1-5386-8151-0},
}