Residual memory networks: Feed-forward approach to learn long-term temporal dependencies

Murali Karthick Baskar, Martin Karafiát, Lukás Burget, Karel Veselý, Frantisek Grézl, Jan Cernocký. Residual memory networks: Feed-forward approach to learn long-term temporal dependencies. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017. pages 4810-4814, IEEE, 2017. [doi]

@inproceedings{BaskarKBVGC17,
  title = {Residual memory networks: Feed-forward approach to learn long-term temporal dependencies},
  author = {Murali Karthick Baskar and Martin Karafiát and Lukás Burget and Karel Veselý and Frantisek Grézl and Jan Cernocký},
  year = {2017},
  doi = {10.1109/ICASSP.2017.7953070},
  url = {https://doi.org/10.1109/ICASSP.2017.7953070},
  researchr = {https://researchr.org/publication/BaskarKBVGC17},
  cites = {0},
  citedby = {0},
  pages = {4810-4814},
  booktitle = {2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017},
  publisher = {IEEE},
  isbn = {978-1-5090-4117-6},
}