Spiking Neural Network to Extract Frequent Words from Japanese Speech Data

Kenta Morita, Haruhiko Takase, Naoki Morita, Hiroharu Kawanaka, Hidehiko Kita. Spiking Neural Network to Extract Frequent Words from Japanese Speech Data. In Imre J. Rudas, János Csirik, Carlos Toro 0001, János Botzheim, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, Budapest, Hungary, 4-6 September 2019. Volume 159 of Procedia Computer Science, pages 363-371, Elsevier, 2019. [doi]

@inproceedings{MoritaTMKK19,
  title = {Spiking Neural Network to Extract Frequent Words from Japanese Speech Data},
  author = {Kenta Morita and Haruhiko Takase and Naoki Morita and Hiroharu Kawanaka and Hidehiko Kita},
  year = {2019},
  doi = {10.1016/j.procs.2019.09.191},
  url = {https://doi.org/10.1016/j.procs.2019.09.191},
  researchr = {https://researchr.org/publication/MoritaTMKK19},
  cites = {0},
  citedby = {0},
  pages = {363-371},
  booktitle = {Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 23rd International Conference KES-2019, Budapest, Hungary, 4-6 September 2019},
  editor = {Imre J. Rudas and János Csirik and Carlos Toro 0001 and János Botzheim and Robert J. Howlett and Lakhmi C. Jain},
  volume = {159},
  series = {Procedia Computer Science},
  publisher = {Elsevier},
}