Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training

László Tóth, Gábor Gosztolya. Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training. In Andrey Ronzhin, Rodmonga Potapova, Géza Németh, editors, Speech and Computer - 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings. Volume 9811 of Lecture Notes in Computer Science, pages 108-115, Springer, 2016. [doi]

@inproceedings{TothG16,
  title = {Adaptation of DNN Acoustic Models Using KL-divergence Regularization and Multi-task Training},
  author = {László Tóth and Gábor Gosztolya},
  year = {2016},
  doi = {10.1007/978-3-319-43958-7_12},
  url = {http://dx.doi.org/10.1007/978-3-319-43958-7_12},
  researchr = {https://researchr.org/publication/TothG16},
  cites = {0},
  citedby = {0},
  pages = {108-115},
  booktitle = {Speech and Computer - 18th International Conference, SPECOM 2016, Budapest, Hungary, August 23-27, 2016, Proceedings},
  editor = {Andrey Ronzhin and Rodmonga Potapova and Géza Németh},
  volume = {9811},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-43957-0},
}