Towards Interpretable Polyphonic Transcription with Invertible Neural Networks

Rainer Kelz, Gerhard Widmer. Towards Interpretable Polyphonic Transcription with Invertible Neural Networks. In Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk, editors, Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019. pages 376-383, 2019. [doi]

@inproceedings{KelzW19,
  title = {Towards Interpretable Polyphonic Transcription with Invertible Neural Networks},
  author = {Rainer Kelz and Gerhard Widmer},
  year = {2019},
  url = {http://archives.ismir.net/ismir2019/paper/000044.pdf},
  researchr = {https://researchr.org/publication/KelzW19},
  cites = {0},
  citedby = {0},
  pages = {376-383},
  booktitle = {Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019},
  editor = {Arthur Flexer and Geoffroy Peeters and Julián Urbano and Anja Volk},
  isbn = {978-1-7327299-1-9},
}