Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification

Alexander Schindler, Thomas Lidy, Andreas Rauber. Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification. In Wolfgang Aigner, Grischa Schmiedl, Kerstin Blumenstein, Matthias Zeppelzauer, Michael Iber, editors, Proceedings of the 9th Forum Media Technology 2016 and 2nd All Around Audio Symposium 2016, St. Pölten, Austria, November 23-24, 2016. Volume 1734 of CEUR Workshop Proceedings, pages 17-21, CEUR-WS.org, 2016. [doi]

@inproceedings{SchindlerLR16,
  title = {Comparing Shallow versus Deep Neural Network Architectures for Automatic Music Genre Classification},
  author = {Alexander Schindler and Thomas Lidy and Andreas Rauber},
  year = {2016},
  url = {http://ceur-ws.org/Vol-1734/fmt-proceedings-2016-paper2.pdf},
  researchr = {https://researchr.org/publication/SchindlerLR16},
  cites = {0},
  citedby = {0},
  pages = {17-21},
  booktitle = {Proceedings of the 9th Forum Media Technology 2016 and 2nd All Around Audio Symposium 2016, St. Pölten, Austria, November 23-24, 2016},
  editor = {Wolfgang Aigner and Grischa Schmiedl and Kerstin Blumenstein and Matthias Zeppelzauer and Michael Iber},
  volume = {1734},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}