Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach

Rafael Torres, Daniele Battaglino, Ludovick Lepauloux. Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach. In Giacomo Boracchi, Lazaros S. Iliadis, Chrisina Jayne, Aristidis Likas, editors, Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings. Volume 744 of Communications in Computer and Information Science, pages 168-179, Springer, 2017. [doi]

@inproceedings{TorresBL17,
  title = {Baby Cry Sound Detection: A Comparison of Hand Crafted Features and Deep Learning Approach},
  author = {Rafael Torres and Daniele Battaglino and Ludovick Lepauloux},
  year = {2017},
  doi = {10.1007/978-3-319-65172-9_15},
  url = {https://doi.org/10.1007/978-3-319-65172-9_15},
  researchr = {https://researchr.org/publication/TorresBL17},
  cites = {0},
  citedby = {0},
  pages = {168-179},
  booktitle = {Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Athens, Greece, August 25-27, 2017, Proceedings},
  editor = {Giacomo Boracchi and Lazaros S. Iliadis and Chrisina Jayne and Aristidis Likas},
  volume = {744},
  series = {Communications in Computer and Information Science},
  publisher = {Springer},
  isbn = {978-3-319-65172-9},
}