Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario

Emily R. Bartusiak, Edward J. Delp. Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario. In M. Arif Wani, Mehmed M. Kantardzic, Vasile Palade, Daniel Neagu, Longzhi Yang, Kit Yan Chan, editors, 21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022. pages 329-336, IEEE, 2022. [doi]

@inproceedings{BartusiakD22,
  title = {Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario},
  author = {Emily R. Bartusiak and Edward J. Delp},
  year = {2022},
  doi = {10.1109/ICMLA55696.2022.00054},
  url = {https://doi.org/10.1109/ICMLA55696.2022.00054},
  researchr = {https://researchr.org/publication/BartusiakD22},
  cites = {0},
  citedby = {0},
  pages = {329-336},
  booktitle = {21st IEEE International Conference on Machine Learning and Applications, ICMLA 2022, Nassau, Bahamas, December 12-14, 2022},
  editor = {M. Arif Wani and Mehmed M. Kantardzic and Vasile Palade and Daniel Neagu and Longzhi Yang and Kit Yan Chan},
  publisher = {IEEE},
  isbn = {978-1-6654-6283-9},
}