Automatically augmenting an emotion dataset improves classification using audio

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, Volume 2, pages 194--197 - 2017.
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@InProceedings\{LWW17,
  author       = "Lakomkin, Egor and Weber, Cornelius and Wermter, Stefan",
  title        = "Automatically augmenting an emotion dataset improves classification using audio",
  booktitle    = "Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics",
  volume       = "2",
  pages        = "194--197",
  year         = "2017",
  organization = "Association for Computational Linguistics",
  url          = "https://www2.informatik.uni-hamburg.de/wtm/publications/2017/LWW17/"
}

» Cornelius Weber
» Stefan Wermter