Neural-FST Class Language Model for End-to-End Speech Recognition

Antoine Bruguier, Duc Le, Rohit Prabhavalkar, Dangna Li, Zhe Liu, Bo Wang, Eun Chang, Fuchun Peng, Ozlem Kalinli, Michael L. Seltzer. Neural-FST Class Language Model for End-to-End Speech Recognition. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022. pages 6107-6111, IEEE, 2022. [doi]

@inproceedings{BruguierLPLLWCP22,
  title = {Neural-FST Class Language Model for End-to-End Speech Recognition},
  author = {Antoine Bruguier and Duc Le and Rohit Prabhavalkar and Dangna Li and Zhe Liu and Bo Wang and Eun Chang and Fuchun Peng and Ozlem Kalinli and Michael L. Seltzer},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9747573},
  url = {https://doi.org/10.1109/ICASSP43922.2022.9747573},
  researchr = {https://researchr.org/publication/BruguierLPLLWCP22},
  cites = {0},
  citedby = {0},
  pages = {6107-6111},
  booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-0540-9},
}