Real-time one-pass decoding with recurrent neural network language model for speech recognition

Takaaki Hori, Yotaro Kubo, Atsushi Nakamura. Real-time one-pass decoding with recurrent neural network language model for speech recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014. pages 6364-6368, IEEE, 2014. [doi]

@inproceedings{HoriKN14,
  title = {Real-time one-pass decoding with recurrent neural network language model for speech recognition},
  author = {Takaaki Hori and Yotaro Kubo and Atsushi Nakamura},
  year = {2014},
  doi = {10.1109/ICASSP.2014.6854829},
  url = {http://dx.doi.org/10.1109/ICASSP.2014.6854829},
  researchr = {https://researchr.org/publication/HoriKN14},
  cites = {0},
  citedby = {0},
  pages = {6364-6368},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, Florence, Italy, May 4-9, 2014},
  publisher = {IEEE},
}