End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input

Emre Cakir, Tuomas Virtanen. End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input. In 2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018. pages 1-7, IEEE, 2018. [doi]

@inproceedings{CakirV18,
  title = {End-to-End Polyphonic Sound Event Detection Using Convolutional Recurrent Neural Networks with Learned Time-Frequency Representation Input},
  author = {Emre Cakir and Tuomas Virtanen},
  year = {2018},
  doi = {10.1109/IJCNN.2018.8489470},
  url = {https://doi.org/10.1109/IJCNN.2018.8489470},
  researchr = {https://researchr.org/publication/CakirV18},
  cites = {0},
  citedby = {0},
  pages = {1-7},
  booktitle = {2018 International Joint Conference on Neural Networks, IJCNN 2018, Rio de Janeiro, Brazil, July 8-13, 2018},
  publisher = {IEEE},
  isbn = {978-1-5090-6014-6},
}