Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, and Pretraining: an Ablation Study

Daniel Tompkins, Kshitiz Kumar, Jian Wu. Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, and Pretraining: an Ablation Study. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022, Virtual and Singapore, 23-27 May 2022. pages 1016-1020, IEEE, 2022. [doi]

@inproceedings{TompkinsKW22,
  title = {Maximizing Audio Event Detection Model Performance on Small Datasets Through Knowledge Transfer, Data Augmentation, and Pretraining: an Ablation Study},
  author = {Daniel Tompkins and Kshitiz Kumar and Jian Wu},
  year = {2022},
  doi = {10.1109/ICASSP43922.2022.9747250},
  url = {https://doi.org/10.1109/ICASSP43922.2022.9747250},
  researchr = {https://researchr.org/publication/TompkinsKW22},
  cites = {0},
  citedby = {0},
  pages = {1016-1020},
  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},
}