Automatically augmenting an emotion dataset improves classification using audio - researchr publication authors

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Stefan Wermter, Egor Lakomkin, Cornelius Weber. Automatically augmenting an emotion dataset improves classification using audio. In Mirella Lapata, Phil Blunsom, Alexander Koller, editors, Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017, Valencia, Spain, April 3-7, 2017, Volume 2: Short Papers. pages 194-197, Association for Computational Linguistics, 2017. [doi]

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