End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons

Daniel Auge, Julian Hille, Felix Kreutz, Etienne Mueller, Alois C. Knoll. End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons. In Igor Farkas, Paolo Masulli, Sebastian Otte, Stefan Wermter, editors, Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V. Volume 12895 of Lecture Notes in Computer Science, pages 245-256, Springer, 2021. [doi]

@inproceedings{AugeHKMK21,
  title = {End-to-End Spiking Neural Network for Speech Recognition Using Resonating Input Neurons},
  author = {Daniel Auge and Julian Hille and Felix Kreutz and Etienne Mueller and Alois C. Knoll},
  year = {2021},
  doi = {10.1007/978-3-030-86383-8_20},
  url = {https://doi.org/10.1007/978-3-030-86383-8_20},
  researchr = {https://researchr.org/publication/AugeHKMK21},
  cites = {0},
  citedby = {0},
  pages = {245-256},
  booktitle = {Artificial Neural Networks and Machine Learning - ICANN 2021 - 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part V},
  editor = {Igor Farkas and Paolo Masulli and Sebastian Otte and Stefan Wermter},
  volume = {12895},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-86383-8},
}